The present invention generally relates to digital cameras and more specifically to systems and methods for evaluating imaging conditions.
The quality of an image captured by a digital camera can be influenced by factors including the exposure and focal plane settings of the camera and the dynamic range within a scene. The exposure (duration of time which light is sampled by pixels in an image sensor) impacts the color shades and tone and the focal plane settings impact a captured image's sharpness.
The dynamic range within a scene is the difference in brightness from the darkest to brightest sections of the scene. Likewise, the dynamic range of an image sensor is the difference in brightness from the darkest to brightest sections that the image sensor is able to capture. Depending on the dynamic range within a particular scene, the maximum dynamic range of an image sensor can be many times smaller than the scene's dynamic range. Thus, digital cameras may not be able to accurately capture the full range of brightness in any given scene. Various techniques including auto-exposure, autofocus and high dynamic range imaging have been developed to improve the quality of images captured using digital cameras.
In many image capture devices the sensitivity of the device to light intensity can be adjusted by manipulating pixel integration time, pixel gain, and/or iris/lens aperture. Further, metering and auto-exposure algorithms can be used to optimize the above parameters (some of these parameters may be specified or fixed). Auto-exposure algorithms utilize methods to capture images at optimal mean brightness levels by adjusting the exposure time (or focal plane settings). Such algorithms generally perform an iterative process that captures an image at a known exposure time and based on the characteristics of the captured image, sets the exposure time (or focal plane settings) to capture following images at more optimal mean brightness levels.
Most surfaces reflect incident light with some amount of scattering. Thus, the light intercepted by a camera is roughly isotropic with a small region around the vantage point of the camera. Thus, individual imaging components of an array camera should ideally provide the same numerical representation of an object in the individual images captured by each of the imaging components. However, non-idealities exist in an array camera and its individual imaging components due to manufacturing tolerances and other aberrations.
As such, the numerical representation for the same point in space as captured in the image data of each individual imaging component may differ. The differences may be subtle such as those differences caused by among other things, the differences in focal length, aperture ratios, and image sensor sensitivity in the individual imaging components. Some of these differences can be treated as constants and may be accounted for by correction factors determined through a calibration process.
However, there are some differences that are introduced by the scene being imaged that cannot be compensated for ahead of time by correction factors. One example is veiling glare. Veiling glare occurs when the image projected onto the pixels or sensors of an imaging component by a lens system includes the intended image and an erroneous internally scattered set of photons. The internally scattered set of photons may originate from anywhere in front of the imaging component including both within and outside the Field of View (FoV) of the imaging component. This causes the image projected onto the pixels or sensors of the imaging component at a given point to have more than or less than the expected photons. Additional non-idealities may also exist including, but not limited to, contaminants on a protective window over the array camera installed in a device. The contaminants may change the photo-response function for each of the individual imaging components by scattering or absorbing some of the photons entering the optical system.
It is a problem if the individual imaging components of the array camera do not report the same value for a given point in scene space in their image data. If the values for the same point in space differ in the image data of individual imaging components, the parallax detection between the different images may fail or become erroneous. Also, a noise signal may be introduced into fused images from the local differences in the numerical values of the image data from different imaging components.
The above and other problems are solved an advance in the art is made by systems and methods for providing photometric normalization for an array camera in accordance with embodiments of this invention. In accordance with embodiments of this invention, one or more of the imaging components of the array camera are designated as a reference imaging component and each of the remaining imaging components in the array camera is an alternate imaging component. Each of the alternate imaging components is associated with at least one of the reference imaging components. In accordance with embodiments of this invention, a photometric normalization process is performed after a scene has been captured by the array camera generating image data from each of the individual imaging components of the array camera.
The following process is performed for each reference imaging component and the alternate imaging components associated with each of the reference imaging components in accordance with embodiments of this invention. A nominal parallax shift is determined to translate pixel information in the imaging data of each alternate imaging component to corresponding pixel information in the imaging data of the associated reference imaging component. A low pass filter is then applied to image data of the reference camera and each of the associated translated imaging components. For each associate imaging device, the pixel information from the translated and low-pass filtered image data of the associate imaging device is compared to the corresponding pixel information of the low-pass filtered reference image to compute a gain and offset parameter transformation, which, when applied to the alternate images will photometrically match the two images, thereby reducing or eliminating the photometric imbalance among the images in the array. The computed gain and offset parameters may then applied to the image data of the associate imaging device to photometrically normalize the image data with respect to the reference imaging device.
One embodiment of the method of the invention includes: receiving image data for a scene captured by the reference imaging component; receiving image data for a scene captured by each of plurality of alternate imaging components; determining a nominal parallax for image data of each of the plurality of alternate imaging components that translate information for a particular pixel in the image data of a particular alternate imaging component to a corresponding pixel in the reference imaging component; applying the nominal parallax of each particular alternate imaging component to the image data of the particular alternate imaging component; applying a low pass filter to the image data from the reference imaging component and the shifted image data of each particular alternate imaging component; and computing gain and offset parameters for each particular alternate imaging components from the low pass filtered shifted image data of the particular alternate imaging component and the low pass filtered image data of the reference imaging component.
A further embodiment also includes applying the gain and offset parameters of each particular alternate imaging component to the image data captured by the particular alternate imaging component to form photometrically normalized image data for each particular alternate imaging component.
Another embodiment also includes determining regions of high contrast in the low pass filtered shifted image data of each particular alternate imaging component.
A still further embodiment includes storing determined the regions of high contrast in the low pass filtered image data of each particular alternate imaging component for further correction processing.
In still another embodiment, the computing of the gain and offset parameters is performed on a pixel by pixel basis for the image data of each of the plurality of alternate imaging components.
In a yet further embodiment, the computing of the gain and offset parameters is performed on regions of pixels for the image data of each of the plurality of alternate imaging components.
Yet another embodiment also includes: comparing each gain parameter and each offset parameter for each of the plurality of alternate imaging component to a threshold value; and setting each gain parameter and each offset parameter determined to at least meet the threshold value to a predetermined value.
An embodiment of a system of the invention includes: an array camera including a plurality of imaging components that capture image data of a scene including a reference imaging component and plurality of alternate imaging components; a memory; and a processor that is configured by instructions stored in the memory to: receive image data for a scene captured by the reference imaging component, receive image data for a scene captured by each of plurality of alternate imaging components, determine a nominal parallax for image data of each of the plurality of alternate imaging components that translate information for a particular pixel in the image data of a particular alternate imaging component to a corresponding pixel in the reference imaging component, apply the nominal parallax of each particular alternate imaging component to the image data of the particular alternate imaging component, apply a low pass filter to the image data from the reference imaging component and the shifted image data of each particular alternate imaging component, and compute gain and offset parameters for each particular alternate imaging components from the low pass filtered shifted image data of the particular alternate imaging component and the low pass filtered image data of the reference imaging component.
In a further embodiment, the processor is further configured by the instructions to apply the gain and offset parameters of each particular alternate imaging component to the image data captured by the particular alternate imaging component to form photometrically normalized image data for each particular alternate imaging component.
In another embodiment, the processor is further configured by the instructions to determine regions of high contrast in the low pass filtered shifted image data of each particular alternate imaging component.
In a still further embodiment, the processor is further configured by the instructions to store the determined regions of high contrast in the low pass filtered image data of each particular alternate imaging component for further correction processing.
In still another embodiment, the computing of the gain and offset parameters is performed on a pixel by pixel basis for the image data of each of the plurality of alternate imaging components.
In a yet further embodiment, the computing of the gain and offset parameters is performed on regions of pixels for the image data of each of the plurality of alternate imaging components.
In yet another embodiment, the processor is further configured by the instructions to: compare each gain parameter and each offset parameter for each of the plurality of alternate imaging component to a threshold value; and set each gain parameter and each offset parameter determined to at least meet the threshold value to a predetermined value.
Another further embodiment of the invention includes: receiving image data for a scene captured by the reference imaging component; receiving image data for a scene captured by each of plurality of alternate imaging components; determining a nominal parallax for image data of each of the plurality of alternate imaging components that translate information for a particular pixel in the image data of a particular alternate imaging component to a corresponding pixel in the reference imaging component; applying the nominal parallax of each particular alternate imaging component to the image data of the particular alternate imaging component; applying a low pass filter to the image data from the reference imaging component and the shifted image data of each particular alternate imaging component; and computing gain and offset parameters for each particular alternate imaging components from the low pass filtered shifted image data of the particular alternate imaging component and the low pass filtered image data of the reference imaging component.
In still another further embodiment, the method further comprises applying the gain and offset parameters of each particular alternate imaging component to the image data captured by the particular alternate imaging component to form photometrically normalized image data for each particular alternate imaging component.
In yet another further embodiment, the method further comprises determining regions of high contrast in the low pass filtered shifted image data of each particular alternate imaging component.
In another further embodiment again, the method further comprises storing determined the regions of high contrast in the low pass filtered image data of each particular alternate imaging component for further correction processing.
In another further additional embodiment, the computing of the gain and offset parameters is performed on a pixel by pixel basis for the image data of each of the plurality of alternate imaging components.
In still yet another further embodiment, the computing of the gain and offset parameters is performed on regions of pixels for the image data of each of the plurality of alternate imaging components.
In still another further embodiment again, the method further comprises: comparing each gain parameter and each offset parameter for each of the plurality of alternate imaging components to a threshold value; and setting each gain parameter and each offset parameter determined to at least meet the threshold value to a predetermined value.
Turning now to the drawings, systems and methods for measuring scene information while capturing images using array cameras in accordance with embodiments of the invention are illustrated. Array cameras including camera modules that can be utilized to capture image data from different viewpoints (i.e. light field images) are disclosed in U.S. patent application Ser. No. 12/935,504 entitled “Capturing and Processing of Images using Monolithic Camera Array with Heterogeneous Imagers” to Venkataraman et al. In many instances, fusion and super-resolution processes such as those described in U.S. patent application Ser. No. 12/967,807 entitled “Systems and Methods for Synthesizing High Resolution Images Using Super-Resolution Processes” to Lelescu et al., can be utilized to synthesize a higher resolution 2D image or a stereo pair of higher resolution 2D images from the lower resolution images in the light field captured by an array camera. The terms high or higher resolution and low or lower resolution are used here in a relative sense and not to indicate the specific resolutions of the images captured by the array camera. The disclosures of U.S. patent application Ser. No. 12/935,504 and U.S. patent application Ser. No. 12/967,807 are hereby incorporated by reference in their entirety.
In accordance with embodiments of this invention, a photometric normalization is performed on image data captured by an array camera. The photometric normalization is performed to determine local offset and gain coefficients for the image data from alternate imaging components with respect to a reference imaging component. The gain and offset coefficients correct the image data of the alternate imaging component to account for differences introduced by the scene being imaged. In particular, the gain coefficient corrects for the resultant attenuation of photons caused by veiling glare and other scene related issues and the offset coefficient corrects for the resultant spurious or additional photons introduced by veiling glare or other scene independent issues. Systems and methods for performing photometric normalization of image data captured by an array camera in accordance with embodiments of the invention are discussed further below.
Array Cameras
Array cameras in accordance with embodiments of the invention can include a camera module and a processor. An array camera in accordance with an embodiment of the invention is illustrated in
Array Camera Modules
Camera modules in accordance with embodiments of the invention can be constructed from an imager array and an optic array. A camera module in accordance with an embodiment of the invention is illustrated in
In several embodiments, color filters in individual imaging components can be used to pattern the camera module with it filter groups as further discussed in U.S. Provisional Patent Application No. 61/641,165 entitled “Camera Modules Patterned with pi Filter Groups” filed May 1, 2012, the disclosure of which is incorporated by reference herein in its entirety. The use of a color filter pattern incorporating it filter groups in a 4×4 array is illustrated in
In several embodiments, an array camera generates image data from multiple focal planes and uses a processor to synthesize one or more images of a scene. In certain embodiments, the image data captured by a single focal plane in the sensor array can constitute a low resolution image (the term low resolution here is used only to contrast with higher resolution images), which the processor can use in combination with other low resolution image data captured by the camera module to construct a higher resolution image through Super Resolution processing.
Although specific array cameras are discussed above, many different array cameras are capable of utilizing π filter groups in accordance with embodiments of the invention. Imager arrays in accordance with embodiments of the invention are discussed further below.
Imager Arrays
An imager array in which the image capture settings of a plurality of focal planes or imaging components can be independently configured in accordance with an embodiment of the invention is illustrated in
In many embodiments, a single self-contained chip imager includes focal plane framing circuitry 312 that packages the data captured from the focal planes into a container file and can prepare the captured image data for transmission. In several embodiments, the focal plane framing circuitry includes information identifying the focal plane and/or group of pixels from which the captured image data originated. In a number of embodiments, the imager array also includes an interface for transmission of captured image data to external devices. In the illustrated embodiment, the interface is a MIPI CSI 2 output interface (as specified by the non-profit MIPI Alliance, Inc.) supporting four lanes that can support read-out of video at 30 fps from the imager array and incorporating data output interface circuitry 318, interface control circuitry 316 and interface input circuitry 314. Typically, the bandwidth of each lane is optimized for the total number of pixels in the imager array and the desired frame rate. The use of various interfaces including the MIPI CSI 2 interface to transmit image data captured by an array of imagers within an imager array to an external device in accordance with embodiments of the invention is described in U.S. Pat. No. 8,305,456, entitled “Systems and Methods for Transmitting Array Camera Data”, issued Nov. 6, 2012, the disclosure of which is incorporated by reference herein in its entirety.
Although specific components of an imager array architecture are discussed above with respect to
Independent Focal Plane Control
Imager arrays in accordance with embodiments of the invention can include an array of focal planes or imaging components that can independently be controlled. In this way, the image capture settings for each focal plane in an imager array can be configured differently. As is discussed further below, the ability to configure active focal planes using difference image capture settings can enable different cameras within an array camera to make independent measurements of scene information that can be combined for use in determining image capture settings for use more generally within the camera array.
An imager array including independent control of image capture settings and independent control of pixel readout in an array of focal planes in accordance with an embodiment of the invention is illustrated in
Although specific imager array configurations are discussed above with reference to
Photometric Normalization for an Array Camera
In accordance with many embodiments of this invention, a photometric normalization is performed on image data captured by an array camera. The photometric normalization is performed to determine local offset and gain coefficients for the image data from alternate imaging components with respect to a reference imaging component. The gain and offset coefficients correct the image data of the alternate imaging component to account for differences introduced by the scene being imaged. In particular, the gain coefficient corrects for the resultant attenuation of photons caused by veiling glare and other scene related issues and the offset coefficient corrects for the resultant spurious or additional photons introduced by veiling glare or other scene independent issues.
The normalization performed is based on the fact the one of the properties of the veiling glare phenomenon and other scene related errors is that its effect on the photo-response of each of the individual imaging components is typically low in spatial frequency. Thus, the photo-response of the imaging component does not change rapidly within an image area. Instead, the photo-response is relatively slow changing. As the scene related errors may cause the image projected on the imaging components to include either more or less photons than predicted by a flat-field calibration, some areas of the image of the individual image sensor may be brighter or darker versus the image from other imaging components.
These scene related errors may be corrected for or normalized out by computing the above described gain and offset coefficients. These coefficients can be determined because the response of an imaging component in the raw domain is designed to be linear. Thus, the typical y=mx+c formula may be used to define the response in the following manner:
yi,j=mi,jxi,j+c
Where:
Scene related errors can be thought of as resulting in the following modification to the formula:
yi,j=mi,jxi,j(Gvgi,j)+C+(Ovgi,j)
Where:
To normalize the image data from alternate imaging components with respect to the image data of a reference imaging component, the gain and offset coefficients for the alternate imaging components with respect to the reference imaging component can be computed and applied to the imaging data of the alternate imaging component to negate their effects. The use of a color filter pattern incorporating it filter groups in a 4×4 array is illustrated in
Process 600 includes obtaining the image data for a scene from a reference imaging component and the alternate imaging components associated with the reference imaging component (605). This may be done by capturing an image of the scene with an array camera causing the reference and alternate imaging components to each generate image data of the scene. Alternatively, the image data may have been previously captured and is read from a memory.
If the array camera includes more than one reference imaging component, a reference imaging component is selected to perform the normalization (605). A low pass filter is then applied to the image data of the reference imaging component (610). The low pass filter removes any high frequency components in the reference image data.
The following process is then performed to normalize the image data from each of the alternate imaging components associated with reference imaging component. An alternate imaging component is selected (615) and the image data for the alternate imaging component is retrieved. A nominal parallax between the selected alternate imaging component and the reference imaging component is determined (620). The nominal parallax may be read from memory if it was previously stored or may be computed at the time of use.
In accordance with some embodiments of this invention, the nominal parallax may be determined by metering a region-of-interest within the field of view and performing a coarse parallax estimate to determine a parallax shift that satisfies the metered region-of-interest. In accordance with some other embodiments, a nominal parallax shift corresponding to typical shooting distances may be used. In accordance with still other embodiments, the depth map from a previously fully computed frame may be used to specify the nominal parallax shift.
The nominal parallax shift is then applied to the image data of the alternate camera to translate the pixel information in the image data to correspond with corresponding pixel information in the image data of the reference imaging component (625). A low pass filter is then applied to the shifted image data of the alternate imaging component (630). The shifted, low passed filtered image data of the alternate image component is aligned with the low passed filtered image data from the reference imaging component in a “strong” blurred alignment. A “strong” blurred alignment is when the images are aligned on surviving high-gradient edges in low frequency such that the images appear be aligned even if there some spatial misalignment due to error in the alignment information. Errors in alignment information may be due to many factors, including, but not limited tom, taking the parallax at an incorrect fixed distance.
In accordance with some embodiments, high contrast components in the image data from the alternate imaging component may be detected. The high contrast components in the shifted image data are typically in areas where alignment errors caused by using the nominal parallax shift between the shifted image data from the alternate imaging component and the image data from the reference imaging component are apparent. These high-contrast edges may still cause differences even after the low pass filter is applied. Thus, these high contrast components are optionally detected and stored as a data set, map, or other data structure (635). As these components have a greater probability of being erroneous even after the subsequent correction values are applied, the data set or map may be used to indicate components of the shifted image data from the alternate imaging component where later correction processes can be applied modulate the corrected data if needed and/or desired.
The low pass filtered shifted image data of the alternate imaging component is then compared to the low pass filtered image data of the reference imaging component to compute the gain and offset parameters for the image data from the alternate imaging component (640). The low passed filtered shifted image data is used to determine the gain and offset parameter because most photometric imbalances occur in low frequency. Thus, the gain and offset parameters to locally correct the photometric imbalance determined using the low pass filtered image data will correct photometric imbalance in the original image data as the photometric imbalance if in the lower frequency.
In accordance with some embodiments, the gain and offset parameters are calculated on a per pixel basis. In accordance with these embodiments, the gain and offset parameters are calculated based on a region surrounding each pixel. For example, a region of 9×9 pixels surrounding a pixel may be analyzed to determine the distribution of values within the region. In other embodiments, any of a variety of fixed or adaptive regions can be utilized including regions that have different shapes in different regions of the image. A level of contrast exists in the region within the image data of the alternate imaging component. The goal of the computation is to determine gain and offset parameters for the pixel in shifted image data that matches the value of the pixel data to the value of the pixel data of the reference imaging component. This may be achieved by comparing the mean and variance of the data for the pixel area to the mean and variance of the data for a corresponding pixel area in the reference image data.
In accordance with some embodiments of this invention, the following equation may be used to perform the comparisons and determine the gain and offset parameters:
Where:
In accordance with some embodiments, limits may be applied to the computation such that values computed for the gain and offset parameters are constrained in some way. In accordance with some of these embodiments, the gain and offset parameters may be prevented from being too large by being compared to a threshold and being set to a predetermined value if the threshold is at least met.
In accordance with other embodiments, the gain and offset parameters may be determined for regions of the associate image data instead of a per pixel basis by using a sparse grid. The subsequent spatially varying values of the gain and offset parameters may be interpolated to yield the correct value for each pixel. One skilled in the art will recognize that still other methods of determining the gain and offset parameters may be used without departing from the embodiments of this invention.
The determined gain and offset parameters for each pixel are then applied to the corresponding information for each pixel in the original image data of the associate reference component (645). In accordance with some embodiments, the map or data set of high contrast regions may be used to determine regions where the calculations may be erroneous and additional processes may need to be performed to normalize the data.
The process (615-645) for alternate imaging components associated the selected reference is then repeated until normalization is performed for each alternate imaging component associated with the selected reference imaging component (650). The process is likewise repeated for each reference imaging component in the array camera (655).
While the above description contains many specific embodiments of the invention, these should not be construed as limitations on the scope of the invention, but rather as an example of one embodiment thereof. It is therefore to be understood that the present invention may be practiced otherwise than specifically described, without departing from the scope and spirit of the present invention. Thus, embodiments of the present invention should be considered in all respects as illustrative and not restrictive.
The current application is a continuation of U.S. application Ser. No. 14/814,291, filed Jul. 30, 2015, which is a continuation of U.S. application Ser. No. 14/213,697, filed Mar. 14, 2014, which application claims priority to U.S. Provisional Patent Application No. 61/785,797, filed Mar. 14, 2013, the disclosures of which are incorporated herein by reference.
Number | Name | Date | Kind |
---|---|---|---|
4124798 | Thompson | Nov 1978 | A |
4198646 | Alexander et al. | Apr 1980 | A |
4323925 | Abell et al. | Apr 1982 | A |
4460449 | Montalbano | Jul 1984 | A |
4467365 | Murayama et al. | Aug 1984 | A |
4652909 | Glenn | Mar 1987 | A |
4899060 | Lischke | Feb 1990 | A |
5005083 | Grage | Apr 1991 | A |
5070414 | Tsutsumi | Dec 1991 | A |
5144448 | Hornbaker et al. | Sep 1992 | A |
5157499 | Oguma et al. | Oct 1992 | A |
5325449 | Burt | Jun 1994 | A |
5327125 | Iwase et al. | Jul 1994 | A |
5488674 | Burt | Jan 1996 | A |
5629524 | Stettner et al. | May 1997 | A |
5793900 | Nourbakhsh et al. | Aug 1998 | A |
5808350 | Jack et al. | Sep 1998 | A |
5832312 | Rieger et al. | Nov 1998 | A |
5880691 | Fossum et al. | Mar 1999 | A |
5911008 | Niikura et al. | Jun 1999 | A |
5933190 | Dierickx et al. | Aug 1999 | A |
5963664 | Kumar et al. | Oct 1999 | A |
5973844 | Burger | Oct 1999 | A |
6002743 | Telymonde | Dec 1999 | A |
6005607 | Uomori et al. | Dec 1999 | A |
6034690 | Gallery et al. | Mar 2000 | A |
6069351 | Mack | May 2000 | A |
6069365 | Chow et al. | May 2000 | A |
6097394 | Levoy et al. | Aug 2000 | A |
6124974 | Burger | Sep 2000 | A |
6130786 | Osawa et al. | Oct 2000 | A |
6137100 | Fossum et al. | Oct 2000 | A |
6137535 | Meyers | Oct 2000 | A |
6141048 | Meyers | Oct 2000 | A |
6160909 | Melen | Dec 2000 | A |
6163414 | Kikuchi et al. | Dec 2000 | A |
6172352 | Liu et al. | Jan 2001 | B1 |
6175379 | Uomori et al. | Jan 2001 | B1 |
6205241 | Melen | Mar 2001 | B1 |
6239909 | Hayashi et al. | May 2001 | B1 |
6292713 | Jouppi et al. | Sep 2001 | B1 |
6340994 | Margulis et al. | Jan 2002 | B1 |
6358862 | Ireland et al. | Mar 2002 | B1 |
6443579 | Myers | Sep 2002 | B1 |
6476805 | Shum et al. | Nov 2002 | B1 |
6477260 | Shimomura | Nov 2002 | B1 |
6502097 | Chan et al. | Dec 2002 | B1 |
6525302 | Dowski, Jr. et al. | Feb 2003 | B2 |
6563537 | Kawamura et al. | May 2003 | B1 |
6571466 | Glenn et al. | Jun 2003 | B1 |
6603513 | Berezin | Aug 2003 | B1 |
6611289 | Yu | Aug 2003 | B1 |
6627896 | Hashimoto et al. | Sep 2003 | B1 |
6628330 | Lin | Sep 2003 | B1 |
6635941 | Suda | Oct 2003 | B2 |
6639596 | Shum et al. | Oct 2003 | B1 |
6647142 | Beardsley | Nov 2003 | B1 |
6657218 | Noda | Dec 2003 | B2 |
6671399 | Berestov | Dec 2003 | B1 |
6750904 | Lambert | Jun 2004 | B1 |
6765617 | Tangen et al. | Jul 2004 | B1 |
6771833 | Edgar | Aug 2004 | B1 |
6774941 | Boisvert et al. | Aug 2004 | B1 |
6788338 | Dinev | Sep 2004 | B1 |
6795253 | Shinohara | Sep 2004 | B2 |
6801653 | Wu et al. | Oct 2004 | B1 |
6819328 | Moriwaki et al. | Nov 2004 | B1 |
6819358 | Kagle et al. | Nov 2004 | B1 |
6879735 | Portniaguine et al. | Apr 2005 | B1 |
6897454 | Sasaki et al. | May 2005 | B2 |
6903770 | Kobayashi et al. | Jun 2005 | B1 |
6909121 | Nishikawa | Jun 2005 | B2 |
6927922 | George et al. | Aug 2005 | B2 |
6958862 | Joseph | Oct 2005 | B1 |
7015954 | Foote et al. | Mar 2006 | B1 |
7085409 | Sawhney | Aug 2006 | B2 |
7161614 | Yamashita et al. | Jan 2007 | B1 |
7199348 | Olsen et al. | Apr 2007 | B2 |
7206449 | Raskar et al. | Apr 2007 | B2 |
7235785 | Hornback et al. | Jun 2007 | B2 |
7262799 | Suda | Aug 2007 | B2 |
7292735 | Blake et al. | Nov 2007 | B2 |
7295697 | Satoh | Nov 2007 | B1 |
7333651 | Kim et al. | Feb 2008 | B1 |
7369165 | Bosco et al. | May 2008 | B2 |
7391572 | Jacobowitz et al. | Jun 2008 | B2 |
7408725 | Sato | Aug 2008 | B2 |
7425984 | Chen | Sep 2008 | B2 |
7496293 | Shamir et al. | Feb 2009 | B2 |
7564019 | Olsen | Jul 2009 | B2 |
7606484 | Richards et al. | Oct 2009 | B1 |
7620265 | Wolff | Nov 2009 | B1 |
7633511 | Shum et al. | Dec 2009 | B2 |
7639435 | Chiang et al. | Dec 2009 | B2 |
7646549 | Zalevsky et al. | Jan 2010 | B2 |
7657090 | Omatsu et al. | Feb 2010 | B2 |
7675080 | Boettiger | Mar 2010 | B2 |
7675681 | Tomikawa et al. | Mar 2010 | B2 |
7706634 | Schmitt et al. | Apr 2010 | B2 |
7723662 | Levoy et al. | May 2010 | B2 |
7738013 | Galambos et al. | Jun 2010 | B2 |
7741620 | Doering et al. | Jun 2010 | B2 |
7782364 | Smith | Aug 2010 | B2 |
7826153 | Hong | Nov 2010 | B2 |
7840067 | Shen et al. | Nov 2010 | B2 |
7912673 | Hébert et al. | Mar 2011 | B2 |
7965314 | Miller et al. | Jun 2011 | B1 |
7973834 | Yang | Jul 2011 | B2 |
7986018 | Rennie | Jul 2011 | B2 |
7990447 | Honda et al. | Aug 2011 | B2 |
8000498 | Shih et al. | Aug 2011 | B2 |
8013904 | Tan et al. | Sep 2011 | B2 |
8027531 | Wilburn et al. | Sep 2011 | B2 |
8044994 | Vetro et al. | Oct 2011 | B2 |
8077245 | Adamo et al. | Dec 2011 | B2 |
8098297 | Crisan et al. | Jan 2012 | B2 |
8098304 | Pinto et al. | Jan 2012 | B2 |
8106949 | Tan et al. | Jan 2012 | B2 |
8126279 | Marcellin et al. | Feb 2012 | B2 |
8130120 | Kawabata et al. | Mar 2012 | B2 |
8131097 | Lelescu et al. | Mar 2012 | B2 |
8149323 | Li | Apr 2012 | B2 |
8164629 | Zhang | Apr 2012 | B1 |
8169486 | Corcoran et al. | May 2012 | B2 |
8180145 | Wu et al. | May 2012 | B2 |
8189065 | Georgiev et al. | May 2012 | B2 |
8189089 | Georgiev | May 2012 | B1 |
8194296 | Compton | Jun 2012 | B2 |
8212914 | Chiu | Jul 2012 | B2 |
8213711 | Tam | Jul 2012 | B2 |
8231814 | Duparre | Jul 2012 | B2 |
8242426 | Ward et al. | Aug 2012 | B2 |
8244027 | Takahashi | Aug 2012 | B2 |
8244058 | Intwala et al. | Aug 2012 | B1 |
8254668 | Mashitani et al. | Aug 2012 | B2 |
8279325 | Pitts et al. | Oct 2012 | B2 |
8280194 | Wong et al. | Oct 2012 | B2 |
8289409 | Chang | Oct 2012 | B2 |
8289440 | Pitts et al. | Oct 2012 | B2 |
8290358 | Georgiev | Oct 2012 | B1 |
8294099 | Blackwell, Jr. | Oct 2012 | B2 |
8294754 | Jung et al. | Oct 2012 | B2 |
8305456 | McMahon | Nov 2012 | B1 |
8315476 | Georgiev et al. | Nov 2012 | B1 |
8345144 | Georgiev et al. | Jan 2013 | B1 |
8360574 | Ishak et al. | Jan 2013 | B2 |
8400555 | Georgiev | Mar 2013 | B1 |
8406562 | Bassi et al. | Mar 2013 | B2 |
8411146 | Twede | Apr 2013 | B2 |
8446492 | Nakano et al. | May 2013 | B2 |
8456517 | Mor et al. | Jun 2013 | B2 |
8493496 | Freedman et al. | Jul 2013 | B2 |
8514491 | Duparre | Aug 2013 | B2 |
8541730 | Inuiya | Sep 2013 | B2 |
8542933 | Venkataraman | Sep 2013 | B2 |
8553093 | Wong et al. | Oct 2013 | B2 |
8559756 | Georgiev et al. | Oct 2013 | B2 |
8565547 | Strandemar | Oct 2013 | B2 |
8576302 | Yoshikawa | Nov 2013 | B2 |
8577183 | Robinson | Nov 2013 | B2 |
8581995 | Lin et al. | Nov 2013 | B2 |
8619082 | Ciurea et al. | Dec 2013 | B1 |
8648918 | Kauker et al. | Feb 2014 | B2 |
8655052 | Spooner et al. | Feb 2014 | B2 |
8682107 | Yoon et al. | Mar 2014 | B2 |
8687087 | Pertsel et al. | Apr 2014 | B2 |
8692893 | McMahon | Apr 2014 | B2 |
8754941 | Sarwari et al. | Jun 2014 | B1 |
8773536 | Zhang | Jul 2014 | B1 |
8780113 | Ciurea et al. | Jul 2014 | B1 |
8804255 | Duparre | Aug 2014 | B2 |
8830375 | Ludwig | Sep 2014 | B2 |
8831367 | Venkataraman | Sep 2014 | B2 |
8842201 | Tajiri | Sep 2014 | B2 |
8854462 | Herbin et al. | Oct 2014 | B2 |
8861089 | Duparre | Oct 2014 | B2 |
8866912 | Mullis | Oct 2014 | B2 |
8866920 | Venkataraman et al. | Oct 2014 | B2 |
8866951 | Keelan | Oct 2014 | B2 |
8878950 | Lelescu et al. | Nov 2014 | B2 |
8885059 | Venkataraman et al. | Nov 2014 | B1 |
8885922 | Ito et al. | Nov 2014 | B2 |
8896594 | Xiong et al. | Nov 2014 | B2 |
8896719 | Venkataraman et al. | Nov 2014 | B1 |
8902321 | Venkataraman et al. | Dec 2014 | B2 |
8928793 | McMahon | Jan 2015 | B2 |
8977038 | Tian et al. | Mar 2015 | B2 |
9001226 | Ng et al. | Apr 2015 | B1 |
9019426 | Han et al. | Apr 2015 | B2 |
9025894 | Venkataraman | May 2015 | B2 |
9025895 | Venkataraman | May 2015 | B2 |
9030528 | Pesach et al. | May 2015 | B2 |
9031335 | Venkataraman | May 2015 | B2 |
9031342 | Venkataraman | May 2015 | B2 |
9031343 | Venkataraman | May 2015 | B2 |
9036928 | Venkataraman | May 2015 | B2 |
9036931 | Venkataraman et al. | May 2015 | B2 |
9041823 | Venkataraman et al. | May 2015 | B2 |
9041824 | Lelescu et al. | May 2015 | B2 |
9041829 | Venkataraman et al. | May 2015 | B2 |
9042667 | Venkataraman et al. | May 2015 | B2 |
9049367 | Venkataraman et al. | Jun 2015 | B2 |
9055233 | Venkataraman et al. | Jun 2015 | B2 |
9060124 | Venkataraman et al. | Jun 2015 | B2 |
9077893 | Venkataraman et al. | Jul 2015 | B2 |
9094661 | Venkataraman et al. | Jul 2015 | B2 |
9100586 | McMahon | Aug 2015 | B2 |
9123117 | Ciurea et al. | Sep 2015 | B2 |
9123118 | Ciurea et al. | Sep 2015 | B2 |
9124815 | Venkataraman et al. | Sep 2015 | B2 |
9124831 | Mullis | Sep 2015 | B2 |
9124864 | Mullis | Sep 2015 | B2 |
9128228 | Duparre | Sep 2015 | B2 |
9129183 | Venkataraman et al. | Sep 2015 | B2 |
9129377 | Ciurea et al. | Sep 2015 | B2 |
9143711 | McMahon | Sep 2015 | B2 |
9147254 | Florian et al. | Sep 2015 | B2 |
9185276 | Rodda et al. | Nov 2015 | B2 |
9188765 | Venkataraman et al. | Nov 2015 | B2 |
9191580 | Venkataraman et al. | Nov 2015 | B2 |
9197821 | McMahon | Nov 2015 | B2 |
9210392 | Nisenzon et al. | Dec 2015 | B2 |
9214013 | Venkataraman et al. | Dec 2015 | B2 |
9235898 | Venkataraman et al. | Jan 2016 | B2 |
9235900 | Ciurea et al. | Jan 2016 | B2 |
9240049 | Ciurea et al. | Jan 2016 | B2 |
9253380 | Venkataraman et al. | Feb 2016 | B2 |
9256974 | Hines | Feb 2016 | B1 |
9264592 | Rodda et al. | Feb 2016 | B2 |
9264610 | Duparre | Feb 2016 | B2 |
9361662 | Lelescu et al. | Jun 2016 | B2 |
9374512 | Venkataraman et al. | Jun 2016 | B2 |
9412206 | McMahon et al. | Aug 2016 | B2 |
9413953 | Maeda | Aug 2016 | B2 |
9426343 | Rodda et al. | Aug 2016 | B2 |
9426361 | Venkataraman et al. | Aug 2016 | B2 |
9438888 | Venkataraman et al. | Sep 2016 | B2 |
9445003 | Lelescu et al. | Sep 2016 | B1 |
9456134 | Venkataraman et al. | Sep 2016 | B2 |
9456196 | Kim et al. | Sep 2016 | B2 |
9462164 | Venkataraman et al. | Oct 2016 | B2 |
9485496 | Venkataraman et al. | Nov 2016 | B2 |
9497370 | Venkataraman et al. | Nov 2016 | B2 |
9497429 | Mullis et al. | Nov 2016 | B2 |
9516222 | Duparre et al. | Dec 2016 | B2 |
9519972 | Venkataraman et al. | Dec 2016 | B2 |
9521319 | Rodda et al. | Dec 2016 | B2 |
9521416 | McMahon et al. | Dec 2016 | B1 |
9536166 | Venkataraman et al. | Jan 2017 | B2 |
9576369 | Venkataraman et al. | Feb 2017 | B2 |
9578237 | Duparre et al. | Feb 2017 | B2 |
9578259 | Molina | Feb 2017 | B2 |
9602805 | Venkataraman et al. | Mar 2017 | B2 |
9633442 | Venkataraman et al. | Apr 2017 | B2 |
9638883 | Duparre | May 2017 | B1 |
9706132 | Nisenzon et al. | Jul 2017 | B2 |
9712759 | Venkataraman et al. | Jul 2017 | B2 |
9733486 | Lelescu et al. | Aug 2017 | B2 |
9741118 | Mullis | Aug 2017 | B2 |
9743051 | Venkataraman et al. | Aug 2017 | B2 |
9749547 | Venkataraman et al. | Aug 2017 | B2 |
9749568 | McMahon | Aug 2017 | B2 |
9754422 | McMahon et al. | Sep 2017 | B2 |
9766380 | Duparre et al. | Sep 2017 | B2 |
9774789 | Ciurea et al. | Sep 2017 | B2 |
9774831 | Venkataraman et al. | Sep 2017 | B2 |
9787911 | McMahon et al. | Oct 2017 | B2 |
9794476 | Nayar et al. | Oct 2017 | B2 |
20010005225 | Clark et al. | Jun 2001 | A1 |
20010019621 | Hanna et al. | Sep 2001 | A1 |
20010028038 | Hamaguchi et al. | Oct 2001 | A1 |
20010038387 | Tomooka et al. | Nov 2001 | A1 |
20020012056 | Trevino | Jan 2002 | A1 |
20020015536 | Warren | Feb 2002 | A1 |
20020027608 | Johnson | Mar 2002 | A1 |
20020028014 | Ono et al. | Mar 2002 | A1 |
20020039438 | Mori et al. | Apr 2002 | A1 |
20020057845 | Fossum | May 2002 | A1 |
20020063807 | Margulis | May 2002 | A1 |
20020075450 | Aratani | Jun 2002 | A1 |
20020087403 | Meyers et al. | Jul 2002 | A1 |
20020089596 | Yasuo | Jul 2002 | A1 |
20020094027 | Sato et al. | Jul 2002 | A1 |
20020101528 | Lee | Aug 2002 | A1 |
20020113867 | Takigawa et al. | Aug 2002 | A1 |
20020113888 | Sonoda et al. | Aug 2002 | A1 |
20020120634 | Min et al. | Aug 2002 | A1 |
20020122113 | Foote et al. | Sep 2002 | A1 |
20020163054 | Suda et al. | Nov 2002 | A1 |
20020167537 | Trajkovic | Nov 2002 | A1 |
20020177054 | Saitoh et al. | Nov 2002 | A1 |
20020190991 | Efran et al. | Dec 2002 | A1 |
20020195548 | Dowski, Jr. et al. | Dec 2002 | A1 |
20030025227 | Daniell | Feb 2003 | A1 |
20030086079 | Barth et al. | May 2003 | A1 |
20030124763 | Fan et al. | Jul 2003 | A1 |
20030140347 | Varsa | Jul 2003 | A1 |
20030179418 | Wengender et al. | Sep 2003 | A1 |
20030188659 | Merry et al. | Oct 2003 | A1 |
20030190072 | Adkins et al. | Oct 2003 | A1 |
20030198377 | Ng et al. | Oct 2003 | A1 |
20030211405 | Venkataraman | Nov 2003 | A1 |
20040003409 | Berstis et al. | Jan 2004 | A1 |
20040008271 | Hagimori et al. | Jan 2004 | A1 |
20040012689 | Tinnerino | Jan 2004 | A1 |
20040027358 | Nakao | Feb 2004 | A1 |
20040047274 | Amanai | Mar 2004 | A1 |
20040050104 | Ghosh et al. | Mar 2004 | A1 |
20040056966 | Schechner et al. | Mar 2004 | A1 |
20040061787 | Liu et al. | Apr 2004 | A1 |
20040066454 | Otani et al. | Apr 2004 | A1 |
20040071367 | Irani et al. | Apr 2004 | A1 |
20040075654 | Hsiao et al. | Apr 2004 | A1 |
20040096119 | Williams | May 2004 | A1 |
20040100570 | Shizukuishi | May 2004 | A1 |
20040105021 | Hu et al. | Jun 2004 | A1 |
20040114807 | Lelescu et al. | Jun 2004 | A1 |
20040141659 | Zhang | Jul 2004 | A1 |
20040151401 | Sawhney et al. | Aug 2004 | A1 |
20040165090 | Ning | Aug 2004 | A1 |
20040169617 | Yelton et al. | Sep 2004 | A1 |
20040170340 | Tipping et al. | Sep 2004 | A1 |
20040174439 | Upton | Sep 2004 | A1 |
20040179008 | Gordon et al. | Sep 2004 | A1 |
20040179834 | Szajewski | Sep 2004 | A1 |
20040207600 | Zhang et al. | Oct 2004 | A1 |
20040207836 | Chhibber et al. | Oct 2004 | A1 |
20040213449 | Safaee-Rad et al. | Oct 2004 | A1 |
20040218809 | Blake et al. | Nov 2004 | A1 |
20040234873 | Venkataraman | Nov 2004 | A1 |
20040239885 | Jaynes et al. | Dec 2004 | A1 |
20040240052 | Minefuji et al. | Dec 2004 | A1 |
20040251509 | Choi | Dec 2004 | A1 |
20040264806 | Herley | Dec 2004 | A1 |
20050006477 | Patel | Jan 2005 | A1 |
20050007461 | Chou et al. | Jan 2005 | A1 |
20050009313 | Suzuki et al. | Jan 2005 | A1 |
20050010621 | Pinto et al. | Jan 2005 | A1 |
20050012035 | Miller | Jan 2005 | A1 |
20050036778 | DeMonte | Feb 2005 | A1 |
20050047678 | Jones et al. | Mar 2005 | A1 |
20050048690 | Yamamoto | Mar 2005 | A1 |
20050068436 | Fraenkel et al. | Mar 2005 | A1 |
20050083531 | Millerd et al. | Apr 2005 | A1 |
20050128509 | Tokkonen et al. | Jun 2005 | A1 |
20050128595 | Shimizu | Jun 2005 | A1 |
20050132098 | Sonoda et al. | Jun 2005 | A1 |
20050134698 | Schroeder | Jun 2005 | A1 |
20050134699 | Nagashima | Jun 2005 | A1 |
20050134712 | Gruhlke et al. | Jun 2005 | A1 |
20050147277 | Higaki et al. | Jul 2005 | A1 |
20050151759 | Gonzalez-Banos et al. | Jul 2005 | A1 |
20050175257 | Kuroki | Aug 2005 | A1 |
20050185711 | Pfister et al. | Aug 2005 | A1 |
20050205785 | Hornback et al. | Sep 2005 | A1 |
20050219363 | Kohler | Oct 2005 | A1 |
20050224843 | Boemler | Oct 2005 | A1 |
20050225654 | Feldman et al. | Oct 2005 | A1 |
20050265633 | Piacentino et al. | Dec 2005 | A1 |
20050275946 | Choo et al. | Dec 2005 | A1 |
20050286612 | Takanashi | Dec 2005 | A1 |
20050286756 | Hong et al. | Dec 2005 | A1 |
20060002635 | Nestares et al. | Jan 2006 | A1 |
20060007331 | Izumi et al. | Jan 2006 | A1 |
20060018509 | Miyoshi | Jan 2006 | A1 |
20060023197 | Joel | Feb 2006 | A1 |
20060023314 | Boettiger et al. | Feb 2006 | A1 |
20060028476 | Sobel et al. | Feb 2006 | A1 |
20060029270 | Berestov et al. | Feb 2006 | A1 |
20060029271 | Miyoshi et al. | Feb 2006 | A1 |
20060033005 | Jerdev et al. | Feb 2006 | A1 |
20060034003 | Zalevsky | Feb 2006 | A1 |
20060034531 | Poon et al. | Feb 2006 | A1 |
20060035415 | Wood | Feb 2006 | A1 |
20060038891 | Okutomi et al. | Feb 2006 | A1 |
20060039611 | Rother | Feb 2006 | A1 |
20060046204 | Ono et al. | Mar 2006 | A1 |
20060049930 | Zruya et al. | Mar 2006 | A1 |
20060054780 | Garrood et al. | Mar 2006 | A1 |
20060054782 | Olsen | Mar 2006 | A1 |
20060055811 | Frtiz et al. | Mar 2006 | A1 |
20060069478 | Iwama | Mar 2006 | A1 |
20060072029 | Miyatake et al. | Apr 2006 | A1 |
20060087747 | Ohzawa et al. | Apr 2006 | A1 |
20060098888 | Morishita | May 2006 | A1 |
20060103754 | Wenstrand et al. | May 2006 | A1 |
20060125936 | Gruhike et al. | Jun 2006 | A1 |
20060138322 | Costello et al. | Jun 2006 | A1 |
20060152803 | Provitola | Jul 2006 | A1 |
20060157640 | Perlman et al. | Jul 2006 | A1 |
20060159369 | Young | Jul 2006 | A1 |
20060176566 | Boettiger et al. | Aug 2006 | A1 |
20060187338 | May et al. | Aug 2006 | A1 |
20060197937 | Bamji et al. | Sep 2006 | A1 |
20060203100 | Ajito et al. | Sep 2006 | A1 |
20060203113 | Wada et al. | Sep 2006 | A1 |
20060210146 | Gu | Sep 2006 | A1 |
20060210186 | Berkner | Sep 2006 | A1 |
20060214085 | Olsen | Sep 2006 | A1 |
20060221250 | Rossbach et al. | Oct 2006 | A1 |
20060239549 | Kelly et al. | Oct 2006 | A1 |
20060243889 | Farnworth et al. | Nov 2006 | A1 |
20060251410 | Trutna | Nov 2006 | A1 |
20060274174 | Tewinkle | Dec 2006 | A1 |
20060278948 | Yamaguchi et al. | Dec 2006 | A1 |
20060279648 | Senba et al. | Dec 2006 | A1 |
20060289772 | Johnson et al. | Dec 2006 | A1 |
20070002159 | Olsen | Jan 2007 | A1 |
20070008575 | Yu et al. | Jan 2007 | A1 |
20070009150 | Suwa | Jan 2007 | A1 |
20070024614 | Tam | Feb 2007 | A1 |
20070030356 | Yea et al. | Feb 2007 | A1 |
20070035707 | Margulis | Feb 2007 | A1 |
20070036427 | Nakamura et al. | Feb 2007 | A1 |
20070040828 | Zalevsky et al. | Feb 2007 | A1 |
20070040922 | McKee et al. | Feb 2007 | A1 |
20070041391 | Lin et al. | Feb 2007 | A1 |
20070052825 | Cho | Mar 2007 | A1 |
20070083114 | Yang et al. | Apr 2007 | A1 |
20070085917 | Kobayashi | Apr 2007 | A1 |
20070092245 | Bazakos et al. | Apr 2007 | A1 |
20070102622 | Olsen et al. | May 2007 | A1 |
20070126898 | Feldman | Jun 2007 | A1 |
20070127831 | Venkataraman | Jun 2007 | A1 |
20070139333 | Sato et al. | Jun 2007 | A1 |
20070146503 | Shiraki | Jun 2007 | A1 |
20070146511 | Kinoshita et al. | Jun 2007 | A1 |
20070153335 | Hosaka | Jul 2007 | A1 |
20070158427 | Zhu et al. | Jul 2007 | A1 |
20070159541 | Sparks et al. | Jul 2007 | A1 |
20070160310 | Tanida et al. | Jul 2007 | A1 |
20070165931 | Higaki | Jul 2007 | A1 |
20070171290 | Kroger | Jul 2007 | A1 |
20070177004 | Kolehmainen et al. | Aug 2007 | A1 |
20070182843 | Shimamura et al. | Aug 2007 | A1 |
20070201859 | Sarrat et al. | Aug 2007 | A1 |
20070206241 | Smith et al. | Sep 2007 | A1 |
20070211164 | Olsen et al. | Sep 2007 | A1 |
20070216765 | Wong et al. | Sep 2007 | A1 |
20070228256 | Mentzer | Oct 2007 | A1 |
20070236595 | Pan et al. | Oct 2007 | A1 |
20070247517 | Zhang et al. | Oct 2007 | A1 |
20070257184 | Olsen et al. | Nov 2007 | A1 |
20070258006 | Olsen et al. | Nov 2007 | A1 |
20070258706 | Raskar et al. | Nov 2007 | A1 |
20070263113 | Baek et al. | Nov 2007 | A1 |
20070263114 | Gurevich et al. | Nov 2007 | A1 |
20070268374 | Robinson | Nov 2007 | A1 |
20070296832 | Ota et al. | Dec 2007 | A1 |
20070296835 | Olsen | Dec 2007 | A1 |
20070296847 | Chang et al. | Dec 2007 | A1 |
20070297696 | Hamza | Dec 2007 | A1 |
20080006859 | Mionetto et al. | Jan 2008 | A1 |
20080019611 | Larkin | Jan 2008 | A1 |
20080024683 | Damera-Venkata et al. | Jan 2008 | A1 |
20080025649 | Liu et al. | Jan 2008 | A1 |
20080030592 | Border et al. | Feb 2008 | A1 |
20080030597 | Olsen et al. | Feb 2008 | A1 |
20080043095 | Vetro et al. | Feb 2008 | A1 |
20080043096 | Vetro et al. | Feb 2008 | A1 |
20080054518 | Ra et al. | Mar 2008 | A1 |
20080056302 | Erdal et al. | Mar 2008 | A1 |
20080062164 | Bassi et al. | Mar 2008 | A1 |
20080079805 | Takagi et al. | Apr 2008 | A1 |
20080080028 | Bakin et al. | Apr 2008 | A1 |
20080084486 | Enge et al. | Apr 2008 | A1 |
20080088793 | Sverdrup et al. | Apr 2008 | A1 |
20080095523 | Schilling-Benz et al. | Apr 2008 | A1 |
20080099804 | Venezia et al. | May 2008 | A1 |
20080106620 | Sawachi et al. | May 2008 | A1 |
20080112059 | Choi et al. | May 2008 | A1 |
20080112635 | Kondo et al. | May 2008 | A1 |
20080118241 | Tekolste et al. | May 2008 | A1 |
20080131019 | Ng | Jun 2008 | A1 |
20080131107 | Ueno | Jun 2008 | A1 |
20080151097 | Chen et al. | Jun 2008 | A1 |
20080152215 | Horie et al. | Jun 2008 | A1 |
20080152296 | Oh et al. | Jun 2008 | A1 |
20080156991 | Hu et al. | Jul 2008 | A1 |
20080158259 | Kempf et al. | Jul 2008 | A1 |
20080158375 | Kakkori et al. | Jul 2008 | A1 |
20080158698 | Chang et al. | Jul 2008 | A1 |
20080165257 | Boettiger et al. | Jul 2008 | A1 |
20080174670 | Olsen et al. | Jul 2008 | A1 |
20080187305 | Raskar et al. | Aug 2008 | A1 |
20080193026 | Horie et al. | Aug 2008 | A1 |
20080211737 | Kim et al. | Sep 2008 | A1 |
20080218610 | Chapman et al. | Sep 2008 | A1 |
20080218611 | Parulski et al. | Sep 2008 | A1 |
20080218612 | Border et al. | Sep 2008 | A1 |
20080218613 | Janson et al. | Sep 2008 | A1 |
20080219654 | Border et al. | Sep 2008 | A1 |
20080239116 | Smith | Oct 2008 | A1 |
20080240598 | Hasegawa | Oct 2008 | A1 |
20080247638 | Tanida et al. | Oct 2008 | A1 |
20080247653 | Moussavi et al. | Oct 2008 | A1 |
20080272416 | Yun | Nov 2008 | A1 |
20080273751 | Yuan et al. | Nov 2008 | A1 |
20080278591 | Barna et al. | Nov 2008 | A1 |
20080278610 | Boettiger et al. | Nov 2008 | A1 |
20080284880 | Numata | Nov 2008 | A1 |
20080291295 | Kato et al. | Nov 2008 | A1 |
20080298674 | Baker et al. | Dec 2008 | A1 |
20080310501 | Ward et al. | Dec 2008 | A1 |
20090027543 | Kanehiro et al. | Jan 2009 | A1 |
20090050946 | Duparre et al. | Feb 2009 | A1 |
20090052743 | Techmer | Feb 2009 | A1 |
20090060281 | Tanida et al. | Mar 2009 | A1 |
20090079862 | Subbotin | Mar 2009 | A1 |
20090086074 | Li et al. | Apr 2009 | A1 |
20090091645 | Trimeche et al. | Apr 2009 | A1 |
20090091806 | Inuiya | Apr 2009 | A1 |
20090096050 | Park | Apr 2009 | A1 |
20090102956 | Georgiev | Apr 2009 | A1 |
20090103792 | Rahn et al. | Apr 2009 | A1 |
20090109306 | Shan | Apr 2009 | A1 |
20090127430 | Hirasawa et al. | May 2009 | A1 |
20090128644 | Camp et al. | May 2009 | A1 |
20090128833 | Yahav | May 2009 | A1 |
20090129667 | Ho et al. | May 2009 | A1 |
20090140131 | Utagawa et al. | Jun 2009 | A1 |
20090141933 | Wagg | Jun 2009 | A1 |
20090147919 | Goto et al. | Jun 2009 | A1 |
20090152664 | Klem et al. | Jun 2009 | A1 |
20090167922 | Perlman et al. | Jul 2009 | A1 |
20090167934 | Gupta | Jul 2009 | A1 |
20090179142 | Duparre et al. | Jul 2009 | A1 |
20090180021 | Kikuchi et al. | Jul 2009 | A1 |
20090200622 | Tai et al. | Aug 2009 | A1 |
20090201371 | Matsuda et al. | Aug 2009 | A1 |
20090207235 | Francini et al. | Aug 2009 | A1 |
20090219435 | Yuan et al. | Sep 2009 | A1 |
20090225203 | Tanida et al. | Sep 2009 | A1 |
20090237520 | Kaneko et al. | Sep 2009 | A1 |
20090245573 | Saptharishi et al. | Oct 2009 | A1 |
20090256947 | Ciurea et al. | Oct 2009 | A1 |
20090263017 | Tanbakuchi | Oct 2009 | A1 |
20090268192 | Koenck et al. | Oct 2009 | A1 |
20090268970 | Babacan et al. | Oct 2009 | A1 |
20090268983 | Stone | Oct 2009 | A1 |
20090274387 | Jin | Nov 2009 | A1 |
20090284651 | Srinivasan | Nov 2009 | A1 |
20090297056 | Lelescu et al. | Dec 2009 | A1 |
20090302205 | Olsen et al. | Dec 2009 | A9 |
20090317061 | Jung et al. | Dec 2009 | A1 |
20090322876 | Lee et al. | Dec 2009 | A1 |
20090323195 | Hembree et al. | Dec 2009 | A1 |
20090323206 | Oliver et al. | Dec 2009 | A1 |
20090324118 | Maslov et al. | Dec 2009 | A1 |
20100002126 | Wenstrand et al. | Jan 2010 | A1 |
20100002313 | Duparre et al. | Jan 2010 | A1 |
20100002314 | Duparre | Jan 2010 | A1 |
20100007714 | Kim et al. | Jan 2010 | A1 |
20100013927 | Nixon | Jan 2010 | A1 |
20100044815 | Chang et al. | Feb 2010 | A1 |
20100053342 | Hwang et al. | Mar 2010 | A1 |
20100053600 | Tanida | Mar 2010 | A1 |
20100060746 | Olsen et al. | Mar 2010 | A9 |
20100073463 | Momonoi et al. | Mar 2010 | A1 |
20100074532 | Gordon et al. | Mar 2010 | A1 |
20100085425 | Tan | Apr 2010 | A1 |
20100086227 | Sun et al. | Apr 2010 | A1 |
20100091389 | Henriksen et al. | Apr 2010 | A1 |
20100097491 | Farina et al. | Apr 2010 | A1 |
20100103175 | Okutomi et al. | Apr 2010 | A1 |
20100103259 | Tanida et al. | Apr 2010 | A1 |
20100103308 | Butterfield et al. | Apr 2010 | A1 |
20100111444 | Coffman | May 2010 | A1 |
20100118127 | Nam et al. | May 2010 | A1 |
20100128145 | Pitts et al. | May 2010 | A1 |
20100129048 | Pitts et al. | May 2010 | A1 |
20100133230 | Henriksen et al. | Jun 2010 | A1 |
20100133418 | Sargent et al. | Jun 2010 | A1 |
20100141802 | Knight | Jun 2010 | A1 |
20100142839 | Lakus-Becker | Jun 2010 | A1 |
20100157073 | Kondo et al. | Jun 2010 | A1 |
20100165152 | Lim | Jul 2010 | A1 |
20100166410 | Chang et al. | Jul 2010 | A1 |
20100171866 | Brady et al. | Jul 2010 | A1 |
20100177411 | Hegde et al. | Jul 2010 | A1 |
20100182406 | Benitez et al. | Jul 2010 | A1 |
20100194901 | van Hoorebeke et al. | Aug 2010 | A1 |
20100195716 | Gunnewiek et al. | Aug 2010 | A1 |
20100201834 | Maruyama et al. | Aug 2010 | A1 |
20100202054 | Niederer | Aug 2010 | A1 |
20100202683 | Robinson | Aug 2010 | A1 |
20100208100 | Olsen Richard I et al. | Aug 2010 | A9 |
20100220212 | Perlman et al. | Sep 2010 | A1 |
20100223237 | Mishra et al. | Sep 2010 | A1 |
20100225740 | Jung et al. | Sep 2010 | A1 |
20100231285 | Boomer et al. | Sep 2010 | A1 |
20100238327 | Griffith et al. | Sep 2010 | A1 |
20100244165 | Lake et al. | Sep 2010 | A1 |
20100245684 | Xiao et al. | Sep 2010 | A1 |
20100259610 | Petersen et al. | Oct 2010 | A1 |
20100265346 | Iizuka | Oct 2010 | A1 |
20100265381 | Yamamoto et al. | Oct 2010 | A1 |
20100265385 | Knight et al. | Oct 2010 | A1 |
20100281070 | Chan et al. | Nov 2010 | A1 |
20100289941 | Ito et al. | Nov 2010 | A1 |
20100290483 | Park et al. | Nov 2010 | A1 |
20100302423 | Adams, Jr. et al. | Dec 2010 | A1 |
20100309292 | Ho et al. | Dec 2010 | A1 |
20100309368 | Choi et al. | Dec 2010 | A1 |
20100321595 | Chiu et al. | Dec 2010 | A1 |
20100321640 | Yeh et al. | Dec 2010 | A1 |
20110001037 | Tewinkle | Jan 2011 | A1 |
20110018973 | Takayama | Jan 2011 | A1 |
20110019048 | Raynor et al. | Jan 2011 | A1 |
20110019243 | Constant, Jr. et al. | Jan 2011 | A1 |
20110031381 | Tay et al. | Feb 2011 | A1 |
20110032370 | Ludwig | Feb 2011 | A1 |
20110033129 | Robinson | Feb 2011 | A1 |
20110038536 | Gong | Feb 2011 | A1 |
20110043661 | Podoleanu | Feb 2011 | A1 |
20110043665 | Ogasahara | Feb 2011 | A1 |
20110043668 | McKinnon et al. | Feb 2011 | A1 |
20110044502 | Liu et al. | Feb 2011 | A1 |
20110051255 | Lee et al. | Mar 2011 | A1 |
20110055729 | Mason et al. | Mar 2011 | A1 |
20110064327 | Dagher et al. | Mar 2011 | A1 |
20110069189 | Venkataraman et al. | Mar 2011 | A1 |
20110080487 | Venkataraman et al. | Apr 2011 | A1 |
20110085028 | Samadani et al. | Apr 2011 | A1 |
20110090217 | Mashitani et al. | Apr 2011 | A1 |
20110108708 | Olsen et al. | May 2011 | A1 |
20110115886 | Nguyen | May 2011 | A1 |
20110121421 | Charbon | May 2011 | A1 |
20110122308 | Duparre | May 2011 | A1 |
20110128393 | Tavi et al. | Jun 2011 | A1 |
20110128412 | Milnes et al. | Jun 2011 | A1 |
20110129165 | Lim et al. | Jun 2011 | A1 |
20110141309 | Nagashima et al. | Jun 2011 | A1 |
20110149408 | Hahgholt et al. | Jun 2011 | A1 |
20110149409 | Haugholt et al. | Jun 2011 | A1 |
20110153248 | Gu et al. | Jun 2011 | A1 |
20110157321 | Nakajima et al. | Jun 2011 | A1 |
20110157451 | Chang | Jun 2011 | A1 |
20110169994 | DiFrancesco et al. | Jul 2011 | A1 |
20110176020 | Chang | Jul 2011 | A1 |
20110181797 | Galstian et al. | Jul 2011 | A1 |
20110206291 | Kashani et al. | Aug 2011 | A1 |
20110211077 | Nayar et al. | Sep 2011 | A1 |
20110211824 | Georgiev et al. | Sep 2011 | A1 |
20110221599 | Högasten | Sep 2011 | A1 |
20110221658 | Haddick et al. | Sep 2011 | A1 |
20110221939 | Jerdev | Sep 2011 | A1 |
20110221950 | Oostra | Sep 2011 | A1 |
20110228142 | Brueckner | Sep 2011 | A1 |
20110228144 | Tian et al. | Sep 2011 | A1 |
20110234841 | Akeley et al. | Sep 2011 | A1 |
20110241234 | Duparre | Oct 2011 | A1 |
20110242342 | Goma et al. | Oct 2011 | A1 |
20110242355 | Goma et al. | Oct 2011 | A1 |
20110242356 | Aleksic et al. | Oct 2011 | A1 |
20110243428 | Das Gupta et al. | Oct 2011 | A1 |
20110255592 | Sung | Oct 2011 | A1 |
20110255745 | Hodder et al. | Oct 2011 | A1 |
20110261993 | Weiming et al. | Oct 2011 | A1 |
20110267348 | Lin | Nov 2011 | A1 |
20110273531 | Ito et al. | Nov 2011 | A1 |
20110274366 | Tardif | Nov 2011 | A1 |
20110279705 | Kuang et al. | Nov 2011 | A1 |
20110279721 | Mcmahon | Nov 2011 | A1 |
20110285866 | Bhrugumalla et al. | Nov 2011 | A1 |
20110285910 | Bamji et al. | Nov 2011 | A1 |
20110292216 | Fergus et al. | Dec 2011 | A1 |
20110298917 | Yanagita | Dec 2011 | A1 |
20110300929 | Tardif et al. | Dec 2011 | A1 |
20110310980 | Mathew | Dec 2011 | A1 |
20110316968 | Taguchi et al. | Dec 2011 | A1 |
20110317766 | Lim, II et al. | Dec 2011 | A1 |
20120012748 | Pain et al. | Jan 2012 | A1 |
20120019530 | Baker | Jan 2012 | A1 |
20120019700 | Gaber | Jan 2012 | A1 |
20120023456 | Sun et al. | Jan 2012 | A1 |
20120026297 | Sato | Feb 2012 | A1 |
20120026342 | Yu et al. | Feb 2012 | A1 |
20120026366 | Golan et al. | Feb 2012 | A1 |
20120026451 | Nystrom | Feb 2012 | A1 |
20120039525 | Tian et al. | Feb 2012 | A1 |
20120044249 | Mashitani et al. | Feb 2012 | A1 |
20120044372 | Côté et al. | Feb 2012 | A1 |
20120056982 | Katz et al. | Mar 2012 | A1 |
20120057040 | Park et al. | Mar 2012 | A1 |
20120062697 | Treado et al. | Mar 2012 | A1 |
20120062702 | Jiang et al. | Mar 2012 | A1 |
20120062756 | Tian | Mar 2012 | A1 |
20120069235 | Imai | Mar 2012 | A1 |
20120081519 | Goma | Apr 2012 | A1 |
20120105590 | Fukumoto et al. | May 2012 | A1 |
20120105691 | Waqas et al. | May 2012 | A1 |
20120113318 | Galstian et al. | May 2012 | A1 |
20120113413 | Miahczylowicz-Wolski et al. | May 2012 | A1 |
20120147139 | Li et al. | Jun 2012 | A1 |
20120147205 | Lelescu et al. | Jun 2012 | A1 |
20120153153 | Chang et al. | Jun 2012 | A1 |
20120154551 | Inoue | Jun 2012 | A1 |
20120155830 | Sasaki et al. | Jun 2012 | A1 |
20120163672 | McKinnon | Jun 2012 | A1 |
20120169433 | Mullins et al. | Jul 2012 | A1 |
20120170134 | Bolis et al. | Jul 2012 | A1 |
20120176479 | Mayhew et al. | Jul 2012 | A1 |
20120176481 | Lukk et al. | Jul 2012 | A1 |
20120188235 | Wu et al. | Jul 2012 | A1 |
20120188341 | Klein Gunnewiek et al. | Jul 2012 | A1 |
20120188389 | Lin et al. | Jul 2012 | A1 |
20120188420 | Black et al. | Jul 2012 | A1 |
20120188634 | Kubala et al. | Jul 2012 | A1 |
20120198677 | Duparre | Aug 2012 | A1 |
20120200669 | Lai | Aug 2012 | A1 |
20120200726 | Bugnariu | Aug 2012 | A1 |
20120200734 | Tang | Aug 2012 | A1 |
20120206582 | DiCarlo et al. | Aug 2012 | A1 |
20120219236 | Ali et al. | Aug 2012 | A1 |
20120224083 | Jovanovski et al. | Sep 2012 | A1 |
20120229602 | Chen et al. | Sep 2012 | A1 |
20120229628 | Ishiyama et al. | Sep 2012 | A1 |
20120237114 | Park et al. | Sep 2012 | A1 |
20120249550 | Akeley et al. | Oct 2012 | A1 |
20120249750 | Izzat et al. | Oct 2012 | A1 |
20120249836 | Ali et al. | Oct 2012 | A1 |
20120249853 | Krolczyk et al. | Oct 2012 | A1 |
20120262601 | Choi et al. | Oct 2012 | A1 |
20120262607 | Shimura et al. | Oct 2012 | A1 |
20120268574 | Gidon et al. | Oct 2012 | A1 |
20120287291 | McMahon et al. | Nov 2012 | A1 |
20120293695 | Tanaka | Nov 2012 | A1 |
20120307093 | Miyoshi | Dec 2012 | A1 |
20120307099 | Yahata et al. | Dec 2012 | A1 |
20120314033 | Lee et al. | Dec 2012 | A1 |
20120314937 | Kim et al. | Dec 2012 | A1 |
20120327222 | Ng et al. | Dec 2012 | A1 |
20130002828 | Ding et al. | Jan 2013 | A1 |
20130003184 | Duparre | Jan 2013 | A1 |
20130010073 | Do | Jan 2013 | A1 |
20130016885 | Tsujimoto et al. | Jan 2013 | A1 |
20130022111 | Chen et al. | Jan 2013 | A1 |
20130027580 | Olsen et al. | Jan 2013 | A1 |
20130033579 | Wajs | Feb 2013 | A1 |
20130033585 | Li et al. | Feb 2013 | A1 |
20130038696 | Ding et al. | Feb 2013 | A1 |
20130050504 | Safaee-Rad et al. | Feb 2013 | A1 |
20130050526 | Keelan | Feb 2013 | A1 |
20130057710 | McMahon | Mar 2013 | A1 |
20130070060 | Chatterjee | Mar 2013 | A1 |
20130076967 | Brunner et al. | Mar 2013 | A1 |
20130077859 | Stauder et al. | Mar 2013 | A1 |
20130077880 | Venkataraman et al. | Mar 2013 | A1 |
20130077882 | Venkataraman et al. | Mar 2013 | A1 |
20130083172 | Baba | Apr 2013 | A1 |
20130088489 | Schmeitz et al. | Apr 2013 | A1 |
20130088637 | Duparre | Apr 2013 | A1 |
20130093842 | Yahata | Apr 2013 | A1 |
20130107061 | Kumar et al. | May 2013 | A1 |
20130113888 | Koguchi | May 2013 | A1 |
20130113899 | Morohoshi et al. | May 2013 | A1 |
20130113939 | Strandemar | May 2013 | A1 |
20130120605 | Georgiev et al. | May 2013 | A1 |
20130121559 | Hu | May 2013 | A1 |
20130128068 | Georgiev et al. | May 2013 | A1 |
20130128069 | Georgiev et al. | May 2013 | A1 |
20130128087 | Georgiev et al. | May 2013 | A1 |
20130128121 | Agarwala et al. | May 2013 | A1 |
20130147979 | McMahon et al. | Jun 2013 | A1 |
20130169754 | Aronsson et al. | Jul 2013 | A1 |
20130176394 | Tian et al. | Jul 2013 | A1 |
20130208138 | Li | Aug 2013 | A1 |
20130215108 | McMahon et al. | Aug 2013 | A1 |
20130215231 | Hiramoto et al. | Aug 2013 | A1 |
20130222556 | Shimada | Aug 2013 | A1 |
20130223759 | Nishiyama et al. | Aug 2013 | A1 |
20130229540 | Farina et al. | Sep 2013 | A1 |
20130230237 | Schlosser et al. | Sep 2013 | A1 |
20130250123 | Zhang et al. | Sep 2013 | A1 |
20130250150 | Malone | Sep 2013 | A1 |
20130259317 | Gaddy | Oct 2013 | A1 |
20130265459 | Duparre et al. | Oct 2013 | A1 |
20130274596 | Azizian et al. | Oct 2013 | A1 |
20130274923 | By et al. | Oct 2013 | A1 |
20130293760 | Nisenzon et al. | Nov 2013 | A1 |
20130335598 | Gustavsson | Dec 2013 | A1 |
20140002674 | Duparre et al. | Jan 2014 | A1 |
20140009586 | McNamer et al. | Jan 2014 | A1 |
20140013273 | Ng et al. | Jan 2014 | A1 |
20140037137 | Broaddus et al. | Feb 2014 | A1 |
20140037140 | Benhimane et al. | Feb 2014 | A1 |
20140043507 | Wang et al. | Feb 2014 | A1 |
20140076336 | Clayton et al. | Mar 2014 | A1 |
20140078333 | Miao | Mar 2014 | A1 |
20140079336 | Venkataraman et al. | Mar 2014 | A1 |
20140092281 | Nisenzon et al. | Apr 2014 | A1 |
20140098267 | Tian et al. | Apr 2014 | A1 |
20140104490 | Hsieh et al. | Apr 2014 | A1 |
20140118493 | Sali et al. | May 2014 | A1 |
20140118584 | Lee et al. | May 2014 | A1 |
20140132810 | McMahon | May 2014 | A1 |
20140146201 | Knight et al. | May 2014 | A1 |
20140176592 | Wilburn et al. | Jun 2014 | A1 |
20140186045 | Poddar et al. | Jul 2014 | A1 |
20140192154 | Jeong et al. | Jul 2014 | A1 |
20140192253 | Laroia | Jul 2014 | A1 |
20140198188 | Izawa | Jul 2014 | A1 |
20140204183 | Lee et al. | Jul 2014 | A1 |
20140218546 | McMahon | Aug 2014 | A1 |
20140232822 | Venkataraman et al. | Aug 2014 | A1 |
20140240528 | Venkataraman et al. | Aug 2014 | A1 |
20140240529 | Venkataraman et al. | Aug 2014 | A1 |
20140253738 | Mullis | Sep 2014 | A1 |
20140267243 | Venkataraman et al. | Sep 2014 | A1 |
20140267286 | Duparre | Sep 2014 | A1 |
20140267633 | Venkataraman et al. | Sep 2014 | A1 |
20140267762 | Mullis et al. | Sep 2014 | A1 |
20140267829 | McMahon et al. | Sep 2014 | A1 |
20140267890 | Lelescu et al. | Sep 2014 | A1 |
20140285675 | Mullis | Sep 2014 | A1 |
20140313315 | Shoham et al. | Oct 2014 | A1 |
20140321712 | Ciurea et al. | Oct 2014 | A1 |
20140333731 | Venkataraman et al. | Nov 2014 | A1 |
20140333764 | Venkataraman et al. | Nov 2014 | A1 |
20140333787 | Venkataraman et al. | Nov 2014 | A1 |
20140340539 | Venkataraman et al. | Nov 2014 | A1 |
20140347509 | Venkataraman et al. | Nov 2014 | A1 |
20140347748 | Duparre | Nov 2014 | A1 |
20140354773 | Venkataraman et al. | Dec 2014 | A1 |
20140354843 | Venkataraman et al. | Dec 2014 | A1 |
20140354844 | Venkataraman et al. | Dec 2014 | A1 |
20140354853 | Venkataraman et al. | Dec 2014 | A1 |
20140354854 | Venkataraman et al. | Dec 2014 | A1 |
20140354855 | Venkataraman et al. | Dec 2014 | A1 |
20140355870 | Venkataraman et al. | Dec 2014 | A1 |
20140368662 | Venkataraman et al. | Dec 2014 | A1 |
20140368683 | Venkataraman et al. | Dec 2014 | A1 |
20140368684 | Venkataraman et al. | Dec 2014 | A1 |
20140368685 | Venkataraman et al. | Dec 2014 | A1 |
20140368686 | Duparre | Dec 2014 | A1 |
20140369612 | Venkataraman et al. | Dec 2014 | A1 |
20140369615 | Venkataraman et al. | Dec 2014 | A1 |
20140376825 | Venkataraman et al. | Dec 2014 | A1 |
20140376826 | Venkataraman et al. | Dec 2014 | A1 |
20150002734 | Lee | Jan 2015 | A1 |
20150003752 | Venkataraman et al. | Jan 2015 | A1 |
20150003753 | Venkataraman et al. | Jan 2015 | A1 |
20150009353 | Venkataraman et al. | Jan 2015 | A1 |
20150009354 | Venkataraman et al. | Jan 2015 | A1 |
20150009362 | Venkataraman et al. | Jan 2015 | A1 |
20150015669 | Venkataraman et al. | Jan 2015 | A1 |
20150035992 | Mullis | Feb 2015 | A1 |
20150036014 | Lelescu et al. | Feb 2015 | A1 |
20150036015 | Lelescu et al. | Feb 2015 | A1 |
20150042766 | Ciurea et al. | Feb 2015 | A1 |
20150042767 | Ciurea et al. | Feb 2015 | A1 |
20150042833 | Lelescu et al. | Feb 2015 | A1 |
20150049915 | Ciurea et al. | Feb 2015 | A1 |
20150049916 | Ciurea et al. | Feb 2015 | A1 |
20150049917 | Ciurea et al. | Feb 2015 | A1 |
20150055884 | Venkataraman et al. | Feb 2015 | A1 |
20150085174 | Shabtay et al. | Mar 2015 | A1 |
20150091900 | Yang et al. | Apr 2015 | A1 |
20150104076 | Hayasaka | Apr 2015 | A1 |
20150104101 | Bryant et al. | Apr 2015 | A1 |
20150122411 | Rodda et al. | May 2015 | A1 |
20150124113 | Rodda et al. | May 2015 | A1 |
20150124151 | Rodda et al. | May 2015 | A1 |
20150146029 | Venkataraman et al. | May 2015 | A1 |
20150146030 | Venkataraman et al. | May 2015 | A1 |
20150161798 | Lelescu et al. | Jun 2015 | A1 |
20150199841 | Venkataraman et al. | Jul 2015 | A1 |
20150243480 | Yamada et al. | Aug 2015 | A1 |
20150244927 | Laroia et al. | Aug 2015 | A1 |
20150248744 | Hayasaka et al. | Sep 2015 | A1 |
20150254868 | Srikanth et al. | Sep 2015 | A1 |
20150296137 | Duparre et al. | Oct 2015 | A1 |
20150312455 | Venkataraman et al. | Oct 2015 | A1 |
20150326852 | Duparre et al. | Nov 2015 | A1 |
20150332468 | Hayasaka et al. | Nov 2015 | A1 |
20150373261 | Rodda et al. | Dec 2015 | A1 |
20160037097 | Duparre | Feb 2016 | A1 |
20160044252 | Molina | Feb 2016 | A1 |
20160044257 | Venkataraman et al. | Feb 2016 | A1 |
20160057332 | Ciurea et al. | Feb 2016 | A1 |
20160163051 | Mullis | Jun 2016 | A1 |
20160165106 | Duparre | Jun 2016 | A1 |
20160165134 | Lelescu et al. | Jun 2016 | A1 |
20160165147 | Nisenzon et al. | Jun 2016 | A1 |
20160165212 | Mullis | Jun 2016 | A1 |
20160195733 | Lelescu et al. | Jul 2016 | A1 |
20160198096 | Lelescu et al. | Jul 2016 | A1 |
20160227195 | Venkataraman et al. | Aug 2016 | A1 |
20160249001 | McMahon | Aug 2016 | A1 |
20160255333 | Nisenzon et al. | Sep 2016 | A1 |
20160266284 | Duparre et al. | Sep 2016 | A1 |
20160267665 | Venkataraman et al. | Sep 2016 | A1 |
20160267672 | Ciurea et al. | Sep 2016 | A1 |
20160269626 | McMahon | Sep 2016 | A1 |
20160269627 | McMahon | Sep 2016 | A1 |
20160269650 | Venkataraman et al. | Sep 2016 | A1 |
20160269651 | Venkataraman et al. | Sep 2016 | A1 |
20160269664 | Duparre | Sep 2016 | A1 |
20160316140 | Nayar et al. | Oct 2016 | A1 |
20170006233 | Venkataraman et al. | Jan 2017 | A1 |
20170048468 | Pain et al. | Feb 2017 | A1 |
20170053382 | Lelescu et al. | Feb 2017 | A1 |
20170054901 | Venkataraman et al. | Feb 2017 | A1 |
20170070672 | Rodda et al. | Mar 2017 | A1 |
20170085845 | Venkataraman et al. | Mar 2017 | A1 |
20170094243 | Venkataraman et al. | Mar 2017 | A1 |
20170099465 | Mullis et al. | Apr 2017 | A1 |
20170163862 | Molina | Jun 2017 | A1 |
20170178363 | Venkataraman et al. | Jun 2017 | A1 |
20170187933 | Duparre | Jun 2017 | A1 |
20170244960 | Ciurea et al. | Aug 2017 | A1 |
20180081090 | Duparre et al. | Mar 2018 | A1 |
Number | Date | Country |
---|---|---|
1669332 | Sep 2005 | CN |
1839394 | Sep 2006 | CN |
101010619 | Aug 2007 | CN |
101064780 | Oct 2007 | CN |
101102388 | Jan 2008 | CN |
101147392 | Mar 2008 | CN |
101427372 | May 2009 | CN |
101606086 | Dec 2009 | CN |
101883291 | Nov 2010 | CN |
102037717 | Apr 2011 | CN |
102375199 | Mar 2012 | CN |
104081414 | Oct 2014 | CN |
104081414 | Aug 2017 | CN |
0677821 | Oct 1995 | EP |
0840502 | May 1998 | EP |
1201407 | May 2002 | EP |
1355274 | Oct 2003 | EP |
1734766 | Dec 2006 | EP |
2026563 | Feb 2009 | EP |
2104334 | Sep 2009 | EP |
2244484 | Oct 2010 | EP |
2336816 | Jun 2011 | EP |
2381418 | Oct 2011 | EP |
2761534 | Aug 2014 | EP |
2867718 | May 2015 | EP |
3066690 | Sep 2016 | EP |
2482022 | Jan 2012 | GB |
59025483 | Feb 1984 | JP |
64037177 | Feb 1989 | JP |
02285772 | Nov 1990 | JP |
07015457 | Jan 1995 | JP |
09181913 | Jul 1997 | JP |
11142609 | May 1999 | JP |
11223708 | Aug 1999 | JP |
2000209503 | Jul 2000 | JP |
2001008235 | Jan 2001 | JP |
2001194114 | Jul 2001 | JP |
2001264033 | Sep 2001 | JP |
2001277260 | Oct 2001 | JP |
2001337263 | Dec 2001 | JP |
2002195910 | Jul 2002 | JP |
2002205310 | Jul 2002 | JP |
2002252338 | Sep 2002 | JP |
2003094445 | Apr 2003 | JP |
2003139910 | May 2003 | JP |
2003163938 | Jun 2003 | JP |
2003298920 | Oct 2003 | JP |
2004221585 | Aug 2004 | JP |
2005116022 | Apr 2005 | JP |
2005181460 | Jul 2005 | JP |
2005295381 | Oct 2005 | JP |
2005303694 | Oct 2005 | JP |
2005354124 | Dec 2005 | JP |
2006033228 | Feb 2006 | JP |
2006033493 | Feb 2006 | JP |
2006047944 | Feb 2006 | JP |
2006258930 | Sep 2006 | JP |
2007520107 | Jul 2007 | JP |
2007259136 | Oct 2007 | JP |
2008039852 | Feb 2008 | JP |
2008055908 | Mar 2008 | JP |
2008507874 | Mar 2008 | JP |
2008258885 | Oct 2008 | JP |
2009132010 | Jun 2009 | JP |
2009300268 | Dec 2009 | JP |
2011017764 | Jan 2011 | JP |
2011030184 | Feb 2011 | JP |
2011109484 | Jun 2011 | JP |
2011523538 | Aug 2011 | JP |
2013526801 | Jun 2013 | JP |
2014521117 | Aug 2014 | JP |
2014535191 | Dec 2014 | JP |
2015522178 | Aug 2015 | JP |
6140709 | May 2017 | JP |
2017163587 | Sep 2017 | JP |
20110097647 | Aug 2011 | KR |
200828994 | Jul 2008 | TW |
200939739 | Sep 2009 | TW |
2005057922 | Jun 2005 | WO |
2006039906 | Sep 2006 | WO |
2007013250 | Feb 2007 | WO |
2007083579 | Jul 2007 | WO |
2007134137 | Nov 2007 | WO |
2008045198 | Apr 2008 | WO |
2008050904 | May 2008 | WO |
2008108271 | Sep 2008 | WO |
2008108926 | Sep 2008 | WO |
2008150817 | Dec 2008 | WO |
2009073950 | Jun 2009 | WO |
2009151903 | Dec 2009 | WO |
2009157273 | Dec 2009 | WO |
2011008443 | Jan 2011 | WO |
2011055655 | May 2011 | WO |
2011063347 | May 2011 | WO |
2011105814 | Sep 2011 | WO |
2011116203 | Sep 2011 | WO |
2011063347 | Oct 2011 | WO |
2011143501 | Nov 2011 | WO |
2012057619 | May 2012 | WO |
2012057620 | May 2012 | WO |
2012057621 | May 2012 | WO |
2012057622 | May 2012 | WO |
2012057623 | May 2012 | WO |
2012057620 | Jun 2012 | WO |
2012074361 | Jun 2012 | WO |
2012078126 | Jun 2012 | WO |
2012082904 | Jun 2012 | WO |
2012155119 | Nov 2012 | WO |
2013003276 | Jan 2013 | WO |
2013043751 | Mar 2013 | WO |
2013043761 | Mar 2013 | WO |
2013049699 | Apr 2013 | WO |
2013055960 | Apr 2013 | WO |
2013119706 | Aug 2013 | WO |
2013126578 | Aug 2013 | WO |
2014004134 | Jan 2014 | WO |
2014052974 | Apr 2014 | WO |
2014032020 | May 2014 | WO |
2014078443 | May 2014 | WO |
2014130849 | Aug 2014 | WO |
2014133974 | Sep 2014 | WO |
2014138695 | Sep 2014 | WO |
2014138697 | Sep 2014 | WO |
2014144157 | Sep 2014 | WO |
2014145856 | Sep 2014 | WO |
2014149403 | Sep 2014 | WO |
2014149902 | Sep 2014 | WO |
2014150856 | Sep 2014 | WO |
2014153098 | Sep 2014 | WO |
2014159721 | Oct 2014 | WO |
2014159779 | Oct 2014 | WO |
2014160142 | Oct 2014 | WO |
2014164550 | Oct 2014 | WO |
2014164909 | Oct 2014 | WO |
2014165244 | Oct 2014 | WO |
2014133974 | Apr 2015 | WO |
2015048694 | Apr 2015 | WO |
2015070105 | May 2015 | WO |
2015074078 | May 2015 | WO |
2015081279 | Jun 2015 | WO |
2016054089 | Apr 2016 | WO |
Entry |
---|
Drulea et al., “Motion Estimation Using the Correlation Transform”, IEEE Transactions on Image Processing, Aug. 2013, vol. 22, No. 8, pp. 3260-3270, first published May 14, 2013. |
International Search Report and Written Opinion for International Application PCT/US2012/037670, Completed Jul. 5, 2012, dated Jul. 18, 2012, 9 pgs. |
International Search Report and Written Opinion for International Application PCT/US2012/044014, completed Oct. 12, 2012, dated Oct. 26, 2012, 15 pgs. |
International Search Report and Written Opinion for International Application PCT/US2012/056151, completed Nov. 14, 2012, dated Nov. 30, 2012, 10 pgs. |
International Search Report and Written Opinion for International Application PCT/US2012/058093, Report completed Nov. 15, 2012, dated Nov. 29, 2012, 12 pgs. |
International Search Report and Written Opinion for International Application PCT/US2012/059813, completed Dec. 17, 2012, dated Jan. 7, 2013, 8 pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/022123, completed Jun. 9, 2014, dated Jun. 25, 2014, 5 pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/023762, Completed May 30, 2014, dated Jul. 3, 2014, 6 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/024903, completed Jun. 12, 2014, dated Jun. 27, 2014, 13 pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/024947, Completed Jul. 8, 2014, dated Aug. 5, 2014, 8 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/028447, completed Jun. 30, 2014, dated Jul. 21, 2014, 8 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/029052, completed Jun. 30, 2014, dated Jul. 24, 2014, 10 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/030692, completed Jul. 28, 2014, dated Aug. 27, 2014, 7 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/064693, Completed Mar. 7, 2015, dated Apr. 2, 2015, 15 pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/066229, Completed Mar. 6, 2015, dated Mar. 19, 2015, 9 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/067740, Completed Jan. 29, 2015, dated Mar. 3, 2015, 10 pgs. |
Office Action for U.S. Appl. No. 12/952,106, dated Aug. 16, 2012, 12 pgs. |
“Exchangeable image file format for digital still cameras: Exif Version 2.2”, Japan Electronics and Information Technology Industries Association, Prepared by Technical Standardization Committee on AV & IT Storage Systems and Equipment, JEITA CP-3451, Apr. 2002, Retrieved from: http://www.exif.org/Exif2-2.PDF, 154 pgs. |
“File Formats Version 6”, Alias Systems, 2004, 40 pgs. |
“Light fields and computational photography”, Stanford Computer Graphics Laboratory, Retrieved from: http://graphics.stanford.edu/projects/lightfield/, Earliest publication online: Feb. 10, 1997, 3 pgs. |
Aufderheide et al., “A MEMS-based Smart Sensor System for Estimation of Camera Pose for Computer Vision Applications”, Research and Innovation Conference 2011, Jul. 29, 2011, pp. 1-10. |
Baker et al., “Limits on Super-Resolution and How to Break Them”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Sep. 2002, vol. 24, No. 9, pp. 1167-1183. |
Barron et al., “Intrinsic Scene Properties from a Single RGB-D Image”, 2013 IEEE Conference on Computer Vision and Pattern Recognition, Jun. 23-28, 2013, Portland, OR, USA, pp. 17-24. |
Bennett et al., “Multispectral Bilateral Video Fusion”, 2007 IEEE Transactions on Image Processing, vol. 16, No. 5, May 2007, published Apr. 16, 2007, pp. 1185-1194. |
Bennett et al., “Multispectral Video Fusion”, Computer Graphics (ACM SIGGRAPH Proceedings), Jul. 25, 2006, published Jul. 30, 2006, 1 pg. |
Bertalmio et al., “Image Inpainting”, Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques, 2000, ACM Pres/Addison-Wesley Publishing Co., pp. 417-424. |
Bertero et al., “Super-resolution in computational imaging”, Micron, Jan. 1, 2003, vol. 34, Issues 6-7, 17 pgs. |
Bishop et al., “Full-Resolution Depth Map Estimation from an Aliased Plenoptic Light Field”, ACCV Nov. 8, 2010, Part II, LNCS 6493, pp. 186-200. |
Bishop et al., “Light Field Superresolution”, Computational Photography (ICCP), 2009 IEEE International Conference, Conference Date Apr. 16-17, published Jan. 26, 2009, 9 pgs. |
Bishop et al., “The Light Field Camera: Extended Depth of Field, Aliasing, and Superresolution”, IEEE Transactions on Pattern Analysis and Machine Intelligence, May 2012, vol. 34, No. 5, published Aug. 18, 2011, pp. 972-986. |
Borman, “Topics in Multiframe Superresolution Restoration”, Thesis of Sean Borman, Apr. 2004, 282 pgs. |
Borman et al, “Image Sequence Processing”, Dekker Encyclopedia of Optical Engineering, Oct. 14, 2002, 81 pgs. |
Borman et al., “Block-Matching Sub-Pixel Motion Estimation from Noisy, Under-Sampled Frames—An Empirical Performance Evaluation”, Proc SPIE, Dec. 28, 1998, vol. 3653, 10 pgs. |
Borman et al., “Image Resampling and Constraint Formulation for Multi-Frame Super-Resolution Restoration”, Proc. SPIE, published Jul. 1, 2003, vol. 5016, 12 pgs. |
Borman et al., “Linear models for multi-frame super-resolution restoration under non-affine registration and spatially varying PSF”, Proc. SPIE, May 21, 2004, vol. 5299, 12 pgs. |
Borman et al., “Nonlinear Prediction Methods for Estimation of Clique Weighting Parameters in NonGaussian Image Models”, Proc. SPIE, Sep. 22, 1998, vol. 3459, 9 pgs. |
Borman et al., “Simultaneous Multi-Frame Map Super-Resolution Video Enhancement Using Spatio-Temporal Priors”, Image Processing, 1999, ICIP 99 Proceedings, vol. 3, pp. 469-473. |
Borman et al., “Super-Resolution from Image Sequences—A Review”, Circuits & Systems, 1998, pp. 374-378. |
Bose et al., “Superresolution and Noise Filtering Using Moving Least Squares”, IEEE Transactions on Image Processing, Aug. 2006, vol. 15, Issue 8, published Jul. 17, 2006, pp. 2239-2248. |
Boye et al., “Comparison of Subpixel Image Registration Algorithms”, Proc. of SPIE—IS&T Electronic Imaging, Feb. 3, 2009, vol. 7246, pp. 72460X-1-72460X-9; doi: 10.1117/12.810369. |
Bruckner et al., “Artificial compound eye applying hyperacuity”, Optics Express, Dec. 11, 2006, vol. 14, No. 25, pp. 12076-12084. |
Bruckner et al., “Driving microoptical imaging systems towards miniature camera applications”, Proc. SPIE, Micro-Optics, May 13, 2010, 11 pgs. |
Bruckner et al., “Thin wafer-level camera lenses inspired by insect compound eyes”, Optics Express, Nov. 22, 2010, vol. 18, No. 24, pp. 24379-24394. |
Bryan et al., “Perspective Distortion from Interpersonal Distance is an Implicit Visual Cue for Social Judgments of Faces”, PLOS One, vol. 7, Issue 9, Sep. 26, 2012, e45301, doi:10.1371/journal.pone.0045301, 9 pages. |
Capel, “Image Mosaicing and Super-resolution”, Retrieved on Nov. 10, 2012, Retrieved from the Internet at URL:<http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.226.2643&rep=rep1 &type=pdf>, 2001, 269 pgs. |
Carroll et al., “Image Warps for Artistic Perspective Manipulation”, ACM Transactions on Graphics (TOG), vol. 29, No. 4, Jul. 26, 2010, Article No. 127, 9 pgs. |
Chan et al., “Extending the Depth of Field in a Compound-Eye Imaging System with Super-Resolution Reconstruction”, Proceedings—International Conference on Pattern Recognition, Jan. 1, 2006, vol. 3, pp. 623-626. |
Chan et al., “Investigation of Computational Compound-Eye Imaging System with Super-Resolution Reconstruction”, IEEE, ISASSP, Jun. 19, 2006, pp. 1177-1180. |
Chan et al., “Super-resolution reconstruction in a computational compound-eye imaging system”, Multidim Syst Sign Process, published online Feb. 23, 2007, vol. 18, pp. 83-101. |
Chen et al., “Image Matting with Local and Nonlocal Smooth Priors”, CVPR '13 Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, Jun. 23, 2013, pp. 1902-1907. |
Chen et al., “Interactive deformation of light fields”, In Proceedings of SIGGRAPH I3D, Apr. 3, 2005, pp. 139-146. |
Chen et al., “KNN matting”, 2012 IEEE Conference on Computer Vision and Pattern Recognition, Jun. 16-21, 2012, Providence, RI, USA, pp. 869-876. |
Chen et al., “KNN Matting”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Sep. 2013, vol. 35, No. 9, pp. 2175-2188. |
Cooper et al., “The perceptual basis of common photographic practice”, Journal of Vision, vol. 12, No. 5, Article 8, May 25, 2012, pp. 1-14. |
Janoch et al., “A category-level 3-D object dataset: Putting the Kinect to work”, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), Nov. 6-13, 2011, Barcelona, Spain, pp. 1168-1174. |
Jarabo et al., “Efficient Propagation of Light Field Edits”, In Proceedings of SIACG 2011, 2011, pp. 75-80. |
Jiang et al., “Panoramic 3D Reconstruction Using Rotational Stereo Camera with Simple Epipolar Constraints”, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), vol. 1, Jun. 17-22, 2006, New York, NY, USA, pp. 371-378. |
Joshi et al., “Synthetic Aperture Tracking: Tracking Through Occlusions”, ICCV IEEE 11th International Conference on Computer Vision; Publication [online]. Oct. 2007 [retrieved Jul. 28, 2014]. Retrieved from the Internet: <URL: http:l/ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4409032&isnumber=4408819>; pp. 1-8. |
Kang et al., “Handling Occlusions in Dense Multi-view Stereo”, Computer Vision and Pattern Recognition, 2001, vol. 1, pp. I-103-I-110. |
Kim et al., “Scene reconstruction from high spatio-angular resolution light fields”, ACM Transactions on Graphics (TOG)—SIGGRAPH 2013 Conference Proceedings, vol. 32 Issue 4, Article 73, Jul. 21, 2013, 11 pages. |
Kitamura et al., “Reconstruction of a high-resolution image on a compound-eye image-capturing system”, Applied Optics, Mar. 10, 2004, vol. 43, No. 8, pp. 1719-1727. |
Konolige, Kurt, “Projected Texture Stereo”, 2010 IEEE International Conference on Robotics and Automation, May 3-7, 2010, p. 148-155. |
Krishnamurthy et al., “Compression and Transmission of Depth Maps for Image-Based Rendering”, Image Processing, 2001, pp. 828-831. |
Kubota et al., “Reconstructing Dense Light Field From Array of Multifocus Images for Novel View Synthesis”, IEEE Transactions on Image Processing, vol. 16, No. 1, Jan. 2007, pp. 269-279. |
Kutulakos et al., “Occluding Contour Detection Using Affine Invariants and Purposive Viewpoint Control”, Computer Vision and Pattern Recognition, Proceedings CVPR 94, Seattle, Washington, Jun. 21-23, 1994, 8 pgs. |
Lai et al., “A Large-Scale Hierarchical Multi-View RGB-D Object Dataset”, Proceedings—IEEE International Conference on Robotics and Automation, Conference Date May 9-13, 2011, 8 pgs., DOI:10.1109/ICRA.201135980382. |
Lane et al., “A Survey of Mobile Phone Sensing”, IEEE Communications Magazine, vol. 48, Issue 9, Sep. 2010, pp. 140-150. |
Lee et al., “Automatic Upright Adjustment of Photographs”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012, pp. 877-884. |
Lee et al., “Electroactive Polymer Actuator for Lens-Drive Unit in Auto-Focus Compact Camera Module”, ETRI Journal, vol. 31, No. 6, Dec. 2009, pp. 695-702. |
Lee et al., “Nonlocal matting”, CVPR 2011, Jun. 20-25, 2011, pp. 2193-2200. |
Lensvector, “How LensVector Autofocus Works”, 2010, printed Nov. 2, 2012 from http://www.lensvector.com/overview.html, 1 pg. |
Levin et al., “A Closed Form Solution to Natural Image Matting”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 61-68, (2006). |
Levin et al., “Spectral Matting”, 2007 IEEE Conference on Computer Vision and Pattern Recognition, Jun. 17-22, 2007, Minneapolis, MN, USA, pp. 1-8. |
Levoy, “Light Fields and Computational Imaging”, IEEE Computer Society, Sep. 1, 2006, vol. 39, Issue No. 8, pp. 46-55. |
Levoy et al., “Light Field Rendering”, Proc. ADM SIGGRAPH '96, pp. 1-12. |
Li et al., “A Hybrid Camera for Motion Deblurring and Depth Map Super-Resolution”, Jun. 23-28, 2008, IEEE Conference on Computer Vision and Pattern Recognition, 8 pgs. Retrieved from www.eecis.udel.edu/˜jye/lab_research/08/deblur-feng.pdf on Feb. 5, 2014. |
Li et al., “Fusing Images With Different Focuses Using Support Vector Machines”, IEEE Transactions on Neural Networks, vol. 15, No. 6, Nov. 8, 2004, pp. 1555-1561. |
Lim, Jongwoo, “Optimized Projection Pattern Supplementing Stereo Systems”, 2009 IEEE International Conference on Robotics and Automation, May 12-17, 2009, pp. 2823-2829. |
Liu et al., “Virtual View Reconstruction Using Temporal Information”, 2012 IEEE International Conference on Multimedia and Expo, 2012, pp. 115-120. |
Lo et al., “Stereoscopic 3D Copy & Paste”, ACM Transactions on Graphics, vol. 29, No. 6, Article 147, Dec. 2010, pp. 147:1-147:10. |
Martinez et al., “Simple Telemedicine for Developing Regions: Camera Phones and Paper-Based Microfluidic Devices for Real-Time, Off-Site Diagnosis”, Analytical Chemistry (American Chemical Society), vol. 80, No. 10, May 15, 2008, pp. 3699-3707. |
McGuire et al., “Defocus video matting”, ACM Transactions on Graphics (TOG)—Proceedings of ACM SIGGRAPH 2005, vol. 24, Issue 3, Jul. 2005, pp. 567-576. |
Merkle et al., “Adaptation and optimization of coding algorithms for mobile 3DTV”, Mobile3DTV Project No. 216503, Nov. 2008, 55 pgs. |
Mitra et al., “Light Field Denoising, Light Field Superresolution and Stereo Camera Based Refocussing using a GMM Light Field Patch Prior”, Computer Vision and Pattern Recognition Workshops (CVPW), 2012 IEEE Computer Society Conference on Jun. 16-21, 2012, pp. 22-28. |
Moreno-Noguer et al., “Active Refocusing of Images and Videos”, ACM Transactions on Graphics (TOG)—Proceedings of ACM SIGGRAPH 2007, vol. 26, Issue 3, Jul. 2007, 10 pages. |
Muehlebach, “Camera Auto Exposure Control for VSLAM Applications”, Studies on Mechatronics, Swiss Federal Institute of Technology Zurich, Autumn Term 2010 course, 67 pgs. |
Nayar, “Computational Cameras: Redefining the Image”, IEEE Computer Society, Aug. 14, 2006, pp. 30-38. |
Ng, “Digital Light Field Photography”, Thesis, Jul. 2006, 203 pgs. |
Ng et al., “Light Field Photography with a Hand-held Plenoptic Camera”, Stanford Tech Report CTSR Feb. 2005, Apr. 20, 2005, pp. 1-11. |
Ng et al., “Super-Resolution Image Restoration from Blurred Low-Resolution Images”, Journal of Mathematical Imaging and Vision, 2005, vol. 23, pp. 367-378. |
Nguyen et al., “Error Analysis for Image-Based Rendering with Depth Information”, IEEE Transactions on Image Processing, vol. 18, Issue 4, Apr. 2009, pp. 703-716. |
Nguyen et al., “Image-Based Rendering with Depth Information Using the Propagation Algorithm”, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005, vol. 5, Mar. 23-23, 2005, pp. 11-589-11-592. |
Nishihara, H.K., “PRISM: A Practical Real-Time Imaging Stereo Matcher”, Massachusetts Institute of Technology, A.I. Memo 780, May 1984, 32 pgs. |
Nitta et al., “Image reconstruction for thin observation module by bound optics by using the iterative backprojection method”, Applied Optics, May 1, 2006, vol. 45, No. 13, pp. 2893-2900. |
Nomura et al., “Scene Collages and Flexible Camera Arrays”, Proceedings of Eurographics Symposium on Rendering, Jun. 2007, 12 pgs. |
Park et al., “Multispectral Imaging Using Multiplexed Illumination”, 2007 IEEE 11th International Conference on Computer Vision, Oct. 14-21, 2007, Rio de Janeiro, Brazil, pp. 1-8. |
Park et al., “Super-Resolution Image Reconstruction”, IEEE Signal Processing Magazine, May 2003, pp. 21-36. |
Parkkinen et al., “Characteristic Spectra of Munsell Colors”, Journal of the Optical Society of America A, vol. 6, Issue 2, Feb. 1989, pp. 318-322. |
Perwass et al., “Single Lens 3D-Camera with Extended Depth-of-Field”, printed from www.raytrix.de, Jan. 22, 2012, 15 pgs. |
Pham et al., “Robust Super-Resolution without Regularization”, Journal of Physics: Conference Series 124, Jul. 2008, pp. 1-19. |
Philips 3D Solutions, “3D Interface Specifications, White Paper”, Feb. 15, 2008, 2005-2008 Philips Electronics Nederland B.V., Philips 3D Solutions retrieved from www.philips.com/3dsolutions, 29 pgs. |
Polight, “Designing Imaging Products Using Reflowable Autofocus Lenses”, printed Nov. 2, 2012 from http://www.polight.no/tunable-polymer-autofocus-lens-html--11.html, 1 pg. |
Pouydebasque et al., “Varifocal liquid lenses with integrated actuator, high focusing power and low operating voltage fabricated on 200 mm wafers”, Sensors and Actuators A: Physical, vol. 172, Issue 1, Dec. 2011, pp. 280-286. |
Protter et al., “Generalizing the Nonlocal-Means to Super-Resolution Reconstruction”, IEEE Transactions on Image Processing, Dec. 2, 2008, vol. 18, No. 1, pp. 36-51. |
Radtke et al., “Laser lithographic fabrication and characterization of a spherical artificial compound eye”, Optics Express, Mar. 19, 2007, vol. 15, No. 6, pp. 3067-3077. |
Rajan et al., “Simultaneous Estimation of Super Resolved Scene and Depth Map from Low Resolution Defocused Observations”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, No. 9, Sep. 8, 2003, pp. 1-16. |
Rander et al., “Virtualized Reality: Constructing Time-Varying Virtual Worlds From Real World Events”, Proc. of IEEE Visualization '97, Phoenix, Arizona, Oct. 19-24, 1997, pp. 277-283, 552. |
Rhemann et al, “Fast Cost-volume Filtering for Visual Correspondence and Beyond”, IEEE Trans. Pattern Anal. Mach. Intell., 2013, vol. 35, No. 2, pp. 504-511. |
Rhemann et al., “A perceptually motivated online benchmark for image matting”, 2009 IEEE Conference on Computer Vision and Pattern Recognition, Jun. 20-25, 2009, Miami, FL, USA, pp. 1826-1833. |
Robertson et al., “Dynamic Range Improvement Through Multiple Exposures”, In Proc. of the Int. Conf. on Image Processing, 1999, 5 pgs. |
Robertson et al., “Estimation-theoretic approach to dynamic range enhancement using multiple exposures”, Journal of Electronic Imaging, Apr. 2003, vol. 12, No. 2, pp. 219-228. |
Roy et al., “Non-Uniform Hierarchical Pyramid Stereo for Large Images”, Computer and Robot Vision, 2002, pp. 208-215. |
Sauer et al., “Parallel Computation of Sequential Pixel Updates in Statistical Tomographic Reconstruction”, ICIP 1995 Proceedings of the 1995 International Conference on Image Processing, Date of Conference: Oct. 23-26, 1995, pp. 93-96. |
Scharstein et al., “High-Accuracy Stereo Depth Maps Using Structured Light”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), Jun. 2003, vol. 1, pp. 195-202. |
Seitz et al., “Plenoptic Image Editing”, International Journal of Computer Vision 48, Conference Date Jan. 7, 1998, 29 pgs., DOI: 10.1109/ICCV.1998.710696 ⋅ Source: DBLP Conference: Computer Vision, Sixth International Conference. |
Shotton et al., “Real-time human pose recognition in parts from single depth images”, CVPR 2011, Jun. 20-25, 2011, Colorado Springs, CO, USA, pp. 1297-1304. |
Shum et al., “A Review of Image-based Rendering Techniques”, Visual Communications and Image Processing 2000, May 2000, 12 pgs. |
Shum et al., “Pop-Up Light Field: An Interactive Image-Based Modeling and Rendering System”, Apr. 2004, ACM Transactions on Graphics, vol. 23, No. 2, pp. 143-162. Retrieved from http://131.107.65.14/en-us/um/people/jiansun/papers/PopupLightField_TOG.pdf on Feb. 5, 2014. |
Silberman et al., “Indoor segmentation and support inference from RGBD images”, ECCV'12 Proceedings of the 12th European conference on Computer Vision, vol. Part V, Oct. 7-13, 2012, Florence, Italy, pp. 746-760. |
Stober, “Stanford researchers developing 3-D camera with 12,616 lenses”, Stanford Report, Mar. 19, 2008, Retrieved from: http://news.stanford.edu/news/2008/march19/camera-031908.html, 5 pgs. |
Stollberg et al., “The Gabor superlens as an alternative wafer-level camera approach inspired by superposition compound eyes of nocturnal insects”, Optics Express, Aug. 31, 2009, vol. 17, No. 18, pp. 15747-15759. |
Sun et al., “Image Super-Resolution Using Gradient Profile Prior”, 2008 IEEE Conference on Computer Vision and Pattern Recognition, Jun. 23-28, 2008, 8 pgs.; DOI: 10.1109/CVPR.2008.4587659. |
Taguchi et al., “Rendering-Oriented Decoding for a Distributed Multiview Coding System Using a Coset Code”, Hindawi Publishing Corporation, EURASIP Journal on Image and Video Processing, vol. 2009, Article ID 251081, Online: Apr. 22, 2009, 12 pages. |
Takeda et al., “Super-resolution Without Explicit Subpixel Motion Estimation”, IEEE Transaction on Image Processing, Sep. 2009, vol. 18, No. 9, pp. 1958-1975. |
Tallon et al., “Upsampling and Denoising of Depth Maps Via Joint-Segmentation”, 20th European Signal Processing Conference, Aug. 27-31, 2012, 5 pgs. |
Tanida et al., “Color imaging with an integrated compound imaging system”, Optics Express, Sep. 8, 2003, vol. 11, No. 18, pp. 2109-2117. |
Tanida et al., “Thin observation module by bound optics (TOMBO): concept and experimental verification”, Applied Optics, Apr. 10, 2001, vol. 40, No. 11, pp. 1806-1813. |
Tao et al., “Depth from Combining Defocus and Correspondence Using Light-Field Cameras”, ICCV '13 Proceedings of the 2013 IEEE International Conference on Computer Vision, Dec. 1, 2013, pp. 673-680. |
Taylor, “Virtual camera movement: The way of the future?”, American Cinematographer ,vol. 77, No. 9, Sep. 1996, 93-100. |
Tseng et al., “Automatic 3-D depth recovery from a single urban-scene image”, 2012 Visual Communications and Image Processing, Nov. 27-30, 2012, San Diego, CA, USA, pp. 1-6. |
Vaish et al., “Reconstructing Occluded Surfaces Using Synthetic Apertures: Stereo, Focus and Robust Measures”, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), vol. 2, Jun. 17-22, 2006, pp. 2331-2338. |
Vaish et al., “Synthetic Aperture Focusing Using a Shear-Warp Factorization of the Viewing Transform”, IEEE Workshop on A3DISS, CVPR, 2005, 8 pgs. |
Vaish et al., “Using Plane + Parallax for Calibrating Dense Camera Arrays”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2004, 8 pgs. |
Van Der Wal et al., “The Acadia Vision Processor”, Proceedings Fifth IEEE International Workshop on Computer Architectures for Machine Perception, Sep. 13, 2000, Padova, Italy, pp. 31-40. |
Veilleux, “CCD Gain Lab: The Theory”, University of Maryland, College Park-Observational Astronomy (ASTR 310), Oct. 19, 2006, pp. 1-5 (online], [retrieved on May 13, 2014]. Retrieved from the Internet <URL: http://www.astro.umd.edu/˜veilleux/ASTR310/fall06/ccd_theory.pdf, 5 pgs. |
Venkataraman et al., “PiCam: An Ultra-Thin High Performance Monolithic Camera Array”, ACM Transactions on Graphics (TOG), ACM, US, vol. 32, No. 6, Nov. 1, 2013, pp. 1-13. |
Vetro et al., “Coding Approaches for End-To-End 3D TV Systems”, Mitsubishi Electric Research Laboratories, Inc., TR2004-137, Dec. 2004, 6 pgs. |
Viola et al., “Robust Real-time Object Detection”, Cambridge Research Laboratory, Technical Report Series, Compaq, CRL-2001-1.pdf, Feb. 2001, Printed from: http://www.hpl.hp.com/techreports/Compaq-Dec/Crl-2001-1.pdf, 30 pgs. |
Vuong et al., “A New Auto Exposure and Auto White-Balance Algorithm to Detect High Dynamic Range Conditions Using CMOS Technology”, Proceedings of the World Congress on Engineering and Computer Science 2008, WCECS 2008, Oct. 22-24, 2008. |
Wang, “Calculation of Image Position, Size and Orientation Using First Order Properties”, Dec. 29, 2010, OPTI521 Tutorial, 10 pgs. |
Wang et al., “Automatic Natural Video Matting with Depth”, 15th Pacific Conference on Computer Graphics and Applications, PG '07, Oct. 29-Nov. 2, 2007, Maui, HI, USA, pp. 469-472. |
Wang et al., “Image and Video Matting: A Survey”, Foundations and Trends, Computer Graphics and Vision, vol. 3, No. 2, 2007, pp. 91-175. |
Wang et al., “Soft scissors: an interactive tool for realtime high quality matting”, ACM Transactions on Graphics (TOG)—Proceedings of ACM SIGGRAPH 2007, vol. 26, Issue 3, Article 9, Jul. 2007, 6 pages, published Aug. 5, 2007. |
Wetzstein et al., “Computational Plenoptic Imaging”, Computer Graphics Forum, 2011, vol. 30, No. 8, pp. 2397-2426. |
Wheeler et al., “Super-Resolution Image Synthesis Using Projections Onto Convex Sets in the Frequency Domain”, Proc. SPIE, Mar. 11, 2005, vol. 5674, 12 pgs. |
Wieringa et al., “Remote Non-invasive Stereoscopic Imaging of Blood Vessels: First In-vivo Results of a New Multispectral Contrast Enhancement Technology”, Annals of Biomedical Engineering, vol. 34, No. 12, Dec. 2006, pp. 1870-1878, Published online Oct. 12, 2006. |
Wikipedia, “Polarizing Filter (Photography)”, retrieved from http://en.wikipedia.org/wiki/Polarizing_filter_(photography) on Dec. 12, 2012, last modified on Sep. 26, 2012, 5 pgs. |
Wilburn, “High Performance Imaging Using Arrays of Inexpensive Cameras”, Thesis of Bennett Wilburn, Dec. 2004, 128 pgs. |
Wilburn et al., “High Performance Imaging Using Large Camera Arrays”, ACM Transactions on Graphics, Jul. 2005, vol. 24, No. 3, pp. 1-12. |
Wilburn et al., “High-Speed Videography Using a Dense Camera Array”, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., vol. 2, Jun. 27-Jul. 2, 2004, pp. 294-301. |
Wilburn et al., “The Light Field Video Camera”, Proceedings of Media Processors 2002, SPIE Electronic Imaging, 2002, 8 pgs. |
Wippermann et al., “Design and fabrication of a chirped array of refractive ellipsoidal micro-lenses for an apposition eye camera objective”, Proceedings of SPIE, Optical Design and Engineering II, Oct. 15, 2005, 59622C-1-59622C-11. |
Wu et al., “A virtual view synthesis algorithm based on image inpainting”, 2012 Third International Conference on Networking and Distributed Computing, Hangzhou, China, Oct. 21-24, 2012, pp. 153-156. |
Xu, “Real-Time Realistic Rendering and High Dynamic Range Image Display and Compression”, Dissertation, School of Computer Science in the College of Engineering and Computer Science at the University of Central Florida, Orlando, Florida, Fall Term 2005, 192 pgs. |
Yang et al., “A Real-Time Distributed Light Field Camera”, Eurographics Workshop on Rendering (2002), published Jul. 26, 2002, pp. 1-10. |
Yang et al., “Superresolution Using Preconditioned Conjugate Gradient Method”, Proceedings of SPIE—The International Society for Optical Engineering, Jul. 2002, 8 pgs. |
Yokochi et al., “Extrinsic Camera Parameter Estimation Based-on Feature Tracking and GPS Data”, 2006, Nara Institute of Science and Technology, Graduate School of Information Science, LNCS 3851, pp. 369-378. |
Zhang et al., “A Self-Reconfigurable Camera Array”, Eurographics Symposium on Rendering, published Aug. 8, 2004, 12 pgs. |
Zhang et al., “Depth estimation, spatially variant image registration, and super-resolution using a multi-lenslet camera”, Proceedings of SPIE, vol. 7705, Apr. 23, 2010, pp. 770505-770505-8, XP055113797 ISSN: 0277-786X, DOI: 10.1117/12.852171. |
Zheng et al., “Balloon Motion Estimation Using Two Frames”, Proceedings of the Asilomar Conference on Signals, Systems and Computers, IEEE, Comp. Soc. Press, US, vol. 2 of 02, Nov. 4, 1991, pp. 1057-1061. |
Zhu et al., “Fusion of Time-of-Flight Depth and Stereo for High Accuracy Depth Maps”, 2008 IEEE Conference on Computer Vision and Pattern Recognition, Jun. 23-28, 2008, Anchorage, AK, USA, pp. 1-8. |
Zomet et al., “Robust Super-Resolution”, IEEE, 2001, pp. 1-6. |
Crabb et al., “Real-time foreground segmentation via range and color imaging”, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Anchorage, AK, USA, Jun. 23-28, 2008, pp. 1-5. |
Debevec et al., “Recovering High Dynamic Range Radiance Maps from Photographs”, Computer Graphics (ACM SIGGRAPH Proceedings), Aug. 16, 1997, 10 pgs. |
Do, Minh N., “Immersive Visual Communication with Depth”, Presented at Microsoft Research, Jun. 15, 2011, Retrieved from: http://minhdo.ece.illinois.edu/talks/ImmersiveComm.pdf, 42 pgs. |
Do et al., “Immersive Visual Communication”, IEEE Signal Processing Magazine, vol. 28, Issue 1, Jan. 2011, DOI: 10.1109/MSP.2010.939075, Retrieved from: http://minhdo.ece.illinois.edu/publications/ImmerComm_SPM.pdf, pp. 58-66. |
Drouin et al., “Fast Multiple-Baseline Stereo with Occlusion”, Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05), Ottawa, Ontario, Canada, Jun. 13-16, 2005, pp. 540-547. |
Drouin et al., “Geo-Consistency for Wide Multi-Camera Stereo”, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), vol. 1, Jun. 20-25, 2005, pp. 351-358. |
Drouin et al., “Improving Border Localization of Multi-Baseline Stereo Using Border-Cut”, International Journal of Computer Vision, Jul. 5, 2006, vol. 83, Issue 3, 8 pgs. |
Duparre et al., “Artificial apposition compound eye fabricated by micro-optics technology”, Applied Optics, Aug. 1, 2004, vol. 43, No. 22, pp. 4303-4310. |
Duparre et al., “Artificial compound eye zoom camera”, Bioinspiration & Biomimetics, Nov. 21, 2008, vol. 3, pp. 1-6. |
Duparre et al., “Artificial compound eyes—different concepts and their application to ultra flat image acquisition sensors”, MOEMS and Miniaturized Systems IV, Proc. SPIE 5346, Jan. 24, 2004, pp. 89-100. |
Duparre et al., “Chirped arrays of refractive ellipsoidal microlenses for aberration correction under oblique incidence”, Optics Express, Dec. 26, 2005, vol. 13, No. 26, pp. 10539-10551. |
Duparre et al., “Micro-optical artificial compound eyes”, Bioinspiration & Biomimetics, Apr. 6, 2006, vol. 1, pp. R1-R16. |
Duparre et al., “Microoptical artificial compound eyes—from design to experimental verification of two different concepts”, Proc. of SPIE, Optical Design and Engineering II, vol. 5962, Oct. 17, 2005, pp. 59622A-1-59622A-12. |
Duparre et al., “Microoptical Artificial Compound Eyes—To Different Concepts for Compact Imaging Systems”, 11th Microoptics Conference, Oct. 30-Nov. 2, 2005, 2 pgs. |
Duparre et al., “Microoptical telescope compound eye”, Optics Express, Feb. 7, 2005, vol. 13, No. 3, pp. 889-903. |
Duparre et al., “Micro-optically fabricated artificial apposition compound eye”, Electronic Imaging—Science and Technology, Prod. SPIE 5301, Jan. 2004, pp. 25-33. |
Duparre et al., “Novel Optics/Micro-Optics for Miniature Imaging Systems”, Proc. of SPIE, Apr. 21, 2006, vol. 6196, pp. 619607-1-619607-15. |
Duparre et al., “Theoretical analysis of an artificial superposition compound eye for application in ultra flat digital image acquisition devices”, Optical Systems Design, Proc. SPIE 5249, Sep. 2003, pp. 408-418. |
Duparre et al., “Thin compound-eye camera”, Applied Optics, May 20, 2005, vol. 44, No. 15, pp. 2949-2956. |
Duparre et al., “Ultra-Thin Camera Based on Artificial Apposition Compound Eyes”, 10th Microoptics Conference, Sep. 1-3, 2004, 2 pgs. |
Eng, Wei Yong et al., “Gaze correction for 3D tele-immersive communication system”, IVMSP Workshop, 2013 IEEE 11th. IEEE, Jun. 10, 2013, 4 pages. |
Fanaswala, “Regularized Super-Resolution of Multi-View Images”, Retrieved on Nov. 10, 2012 (Nov. 10, 2012). Retrieved from the Internet at URL:<http://www.site.uottawa.ca/-edubois/theses/Fanaswala_thesis.pdf>, 2009, 163 pgs. |
Fang et al., “Volume Morphing Methods for Landmark Based 3D Image Deformation”, SPIE vol. 2710, Proc. 1996 SPIE Intl Symposium on Medical Imaging, Newport Beach, CA, Feb. 10, 1996, pp. 404-415. |
Farrell et al., “Resolution and Light Sensitivity Tradeoff with Pixel Size”, Proceedings of the SPIE Electronic Imaging 2006 Conference, Feb. 2, 2006, vol. 6069, 8 pgs. |
Farsiu et al., “Advances and Challenges in Super-Resolution”, International Journal of Imaging Systems and Technology, Aug. 12, 2004, vol. 14, pp. 47-57. |
Farsiu et al., “Fast and Robust Multiframe Super Resolution”, IEEE Transactions on Image Processing, Oct. 2004, published Sep. 3, 2004, vol. 13, No. 10, pp. 1327-1344. |
Farsiu et al., “Multiframe Demosaicing and Super-Resolution of Color Images”, IEEE Transactions on Image Processing, Jan. 2006, vol. 15, No. 1, date of publication Dec. 12, 2005, pp. 141-159. |
Fecker et al., “Depth Map Compression for Unstructured Lumigraph Rendering”, Proc. SPIE 6077, Proceedings Visual Communications and Image Processing 2006, Jan. 18, 2006, pp. 60770B-1-60770B-8. |
Feris et al., “Multi-Flash Stereopsis: Depth Edge Preserving Stereo with Small Baseline Illumination”, IEEE Trans on PAMI, 2006, 31 pgs. |
Fife et al., “A 3D Multi-Aperture Image Sensor Architecture”, Custom Integrated Circuits Conference, 2006, CICC '06, IEEE, pp. 281-284. |
Fife et al., “A 3MPixel Multi-Aperture Image Sensor with 0.7Mu Pixels in 0.11Mu CMOS”, ISSCC 2008, Session 2, Image Sensors & Technology, 2008, pp. 48-50. |
Fischer et al., “Optical System Design”, 2nd Edition, SPIE Press, Feb. 14, 2008, pp. 191-198. |
Fischer et al., “Optical System Design”, 2nd Edition, SPIE Press, Feb. 14, 2008, pp. 49-58. |
Gastal et al., “Shared Sampling for Real-Time Alpha Matting”, Computer Graphics Forum, Eurographics 2010, vol. 29, Issue 2, May 2010, pp. 575-584. |
Georgeiv et al., “Light Field Camera Design for Integral View Photography”, Adobe Systems Incorporated, Adobe Technical Report, 2003, 13 pgs. |
Georgiev et al., “Light-Field Capture by Multiplexing in the Frequency Domain”, Adobe Systems Incorporated, Adobe Technical Report, 2003, 13 pgs. |
Goldman et al., “Video Object Annotation, Navigation, and Composition”, In Proceedings of UIST 2008, Oct. 19-22, 2008, Monterey CA, USA, pp. 3-12. |
Gortler et al., “The Lumigraph”, In Proceedings of SIGGRAPH 1996, published Aug. 1, 1996, pp. 43-54. |
Gupta et al., “Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images”, 2013 IEEE Conference on Computer Vision and Pattern Recognition, Jun. 23-28, 2013, Portland, OR, USA, pp. 564-571. |
Hacohen et al., “Non-Rigid Dense Correspondence with Applications for Image Enhancement”, ACM Transactions on Graphics, vol. 30, No. 4, Aug. 7, 2011, pp. 70:1-70:10. |
Hamilton, “JPEG File Interchange Format, Version 1.02”, Sep. 1, 1992, 9 pgs. |
Hardie, “A Fast Image Super-Algorithm Using an Adaptive Wiener Filter”, IEEE Transactions on Image Processing, Dec. 2007, published Nov. 19, 2007, vol. 16, No. 12, pp. 2953-2964. |
Hasinoff et al., “Search-and-Replace Editing for Personal Photo Collections”, 2010 International Conference: Computational Photography (ICCP) Mar. 2010, pp. 1-8. |
Hernandez-Lopez et al., “Detecting objects using color and depth segmentation with Kinect sensor”, Procedia Technology, vol. 3, Jan. 1, 2012, pp. 196-204, XP055307680, ISSN: 2212-0173, DOI: 10.1016/j.protcy.2012.03.021. |
Holoeye Photonics AG, “Spatial Light Modulators”, Oct. 2, 2013, Brochure retrieved from https://web.archive.org/web/20131002061028/http://holoeye.com/wp-content/uploads/Spatial_Light_Modulators.pdf on Oct. 13, 2017, 4 pgs. |
Holoeye Photonics AG, “Spatial Light Modulators”, Sep. 18, 2013, retrieved from https://web.archive.org/web/20130918113140/http://holoeye.com/spatial-light-modulators/ on Oct. 13, 2017, 4 pages. |
Horisaki et al., “Irregular Lens Arrangement Design to Improve Imaging Performance of Compound-Eye Imaging Systems”, Applied Physics Express, Jan. 29, 2010, vol. 3, pp. 022501-1-022501-3. |
Horisaki et al., “Superposition Imaging for Three-Dimensionally Space-Invariant Point Spread Functions”, Applied Physics Express, Oct. 13, 2011, vol. 4, pp. 112501-1-112501-3. |
Horn et al., “LightShop: Interactive Light Field Manipulation and Rendering”, In Proceedings of I3D, Jan. 1, 2007, pp. 121-128. |
Isaksen et al., “Dynamically Reparameterized Light Fields”, In Proceedings of SIGGRAPH 2000, pp. 297-306. |
Izadi et al., “KinectFusion: Real-time 3D Reconstruction and Interaction Using a Moving Depth Camera”, UIST'11, Oct. 16-19, 2011, Santa Barbara, CA, pp. 559-568. |
International Preliminary Report on Patentability for International Application PCT/US2013/062720, Report dated Mar. 31, 2015, dated Apr. 9, 2015, 8 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2013/024987, dated Aug. 12, 2014, dated Aug. 12, 2014, 13 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2013/027146, completed Aug. 26, 2014, dated Sep. 4, 2014, 10 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2013/039155, completed Nov. 4, 2014, dated Nov. 13, 2014, 10 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2013/046002, dated Dec. 31, 2014, dated Jan. 8, 2015, 6 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2013/048772, dated Dec. 31, 2014, dated Jan. 8, 2015, 8 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2013/056502, dated Feb. 24, 2015, dated Mar. 5, 2015, 7 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2013/069932, dated May 19, 2015, dated May 28, 2015, 12 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/017766, dated Aug. 25, 2015, dated Sep. 3, 2015, 8 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/018084, dated Aug. 25, 2015, dated Sep. 3, 2015, 11 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/018116, dated Sep. 15, 2015, dated Sep. 24, 2015, 12 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/021439, dated Sep. 15, 2015, dated Sep. 24, 2015, 9 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/022118, dated Sep. 8, 2015, dated Sep. 17, 2015, 4 pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/022123, dated Sep. 8, 2015, dated Sep. 17, 2015, 4 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/022774, dated Sep. 22, 2015, dated Oct. 1, 2015, 5 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/023762, dated Mar. 2, 2015, dated Mar. 9, 2015, 10 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/024407, dated Sep. 15, 2015, dated Sep. 24, 2015, 8 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/024903, dated Sep. 15, 2015, dated Sep. 24, 2015, 12 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/024947, dated Sep. 15, 2015, dated Sep. 24, 2015, 7 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/025100, dated Sep. 15, 2015, dated Sep. 24, 2015, 4 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/025904, dated Sep. 15, 2015, dated Sep. 24, 2015, 5 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/028447, dated Sep. 15, 2015, dated Sep. 24, 2015, 7 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/029052, dated Sep. 15, 2015, dated Sep. 24, 2015, 9 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/030692, dated Sep. 15, 2015, dated Sep. 24, 2015, 6 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/064693, dated May 10, 2016, dated May 19, 2016, 14 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/066229, dated May 24, 2016, dated Jun. 2, 2016, 9 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/067740, dated May 31, 2016, dated Jun. 9, 2016, 9 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2015/019529, dated Sep. 13, 2016, dated Sep. 22, 2016, 9 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2015/053013, dated Apr. 4, 2017, dated Apr. 13, 2017, 9 Pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2013/046002, completed Nov. 13, 2013, dated Nov. 29, 2013, 7 pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2013/056065, Completed Nov. 25, 2013, dated Nov. 26, 2013, 8 pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2013/059991, Completed Feb. 6, 2014, dated Feb. 26, 2014, 8 pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2011/064921, Completed Feb. 25, 2011, dated Mar. 6, 2012, 17 pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2013/024987, Completed Mar. 27, 2013, dated Apr. 15, 2013, 14 pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2013/027146, completed Apr. 2, 2013, dated Apr. 19, 2013, 11 pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2013/039155, completed Jul. 1, 2013, dated Jul. 11, 2013, 11 Pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2013/048772, Completed Oct. 21, 2013, dated Nov. 8, 2013, 6 pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2013/056502, Completed Feb. 18, 2014, dated Mar. 19, 2014, 7 pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2013/069932, Completed Mar. 14, 2014, dated Apr. 14, 2014, 12 pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2015/019529, completed May 5, 2015, dated Jun. 8, 2015, 11 Pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2015/053013, completed Dec. 1, 2015, dated Dec. 30, 2015, 9 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2011/036349, completed Aug. 11, 2011, dated Aug. 22, 2011, 11 pgs. |
International Search Report and Written Opinion for International Application PCT/US2013/062720, completed Mar. 25, 2014, dated Apr. 21, 2014, 9 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/017766, completed May 28, 2014, dated Jun. 18, 2014, 9 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/018084, completed May 23, 2014, dated Jun. 10, 2014, 12 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/018116, completed May 13, 2014, dated Jun. 2, 2014, 12 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/021439, completed Jun. 5, 2014, dated Jun. 20, 2014, 10 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/022118, completed Jun. 9, 2014 |
International Search Report and Written Opinion for International Application PCT/US2014/022774 report completed Jun. 9, 2014, dated Jul. 14, 2014, 6 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/024407, report completed Jun. 11, 2014, dated Jul. 8, 2014, 9 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/025100, report completed Jul. 7, 2014, dated Aug. 7, 2014, 5 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/025904 report completed Jun. 10, 2014, dated Jul. 10, 2014, dated Jul. 10, 2014, 6 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2009/044687, completed Jan. 5, 2010, dated Jan. 13, 2010, 9 pgs. |
International Search Report and Written Opinion for International Application PCT/US2010/057661, completed Mar. 9, 2011, dated Mar. 17, 2011, 14 pgs. |
Extended European Search Report for EP Application No. 11781313.9, Completed Oct. 1, 2013, dated Oct. 8, 2013, 6 pgs. |
Extended European Search Report for EP Application No. 13810429.4, Completed Jan. 7, 2016, dated Jan. 15, 2016, 6 Pgs. |
Extended European Search Report for European Application EP12782935.6, completed Aug. 28, 2014, dated Sep. 4, 2014, 7 Pgs. |
Extended European Search Report for European Application EP12804266.0, Report Completed Jan. 27, 2015, dated Feb. 3, 2015, 6 Pgs. |
Extended European Search Report for European Application EP12835041.0, Report Completed Jan. 28, 2015, dated Feb. 4, 2015, 7 Pgs. |
Extended European Search Report for European Application EP13751714.0, completed Aug. 5, 2015, dated Aug. 18, 2015, 8 Pgs. |
Extended European Search Report for European Application EP13810229.8, Report Completed Apr. 14, 2016, dated Apr. 21, 2016, 7 pgs. |
Extended European Search Report for European Application No. 13830945.5, Search completed Jun. 28, 2016, dated Jul. 7, 2016, 14 Pgs. |
Extended European Search Report for European Application No. 13841613.6, Search completed Jul. 18, 2016, dated Jul. 26, 2016, 8 Pgs. |
Extended European Search Report for European Application No. 14763087.5, Search completed Dec. 7, 2016, dated Dec. 19, 2016, 9 Pgs. |
Extended European Search Report for European Application No. 14860103.2, Search completed Feb. 23, 2017, dated Mar. 3, 2017, 7 Pgs. |
Supplementary European Search Report for EP Application No. 13831768.0, Search completed May 18, 2016, dated May 30, 2016, 13 Pgs. |
International Preliminary Report on Patentability for International Application No. PCT/US2012/059813, Search Completed Apr. 15, 2014, 7 pgs. |
International Preliminary Report on Patentability for International Application No. PCT/US2013/059991, dated Mar. 17, 2015, dated Mar. 26, 2015, 8 pgs. |
International Preliminary Report on Patentability for International Application PCT/US2010/057661, dated May 22, 2012, dated May 31, 2012, 10 pages. |
International Preliminary Report on Patentability for International Application PCT/US2011/036349, dated Nov. 13, 2012, dated Nov. 22, 2012, 9 pages. |
International Preliminary Report on Patentability for International Application PCT/US2013/056065, dated Feb. 24, 2015, dated Mar. 5, 2015, 4 Pgs. |
Number | Date | Country | |
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20180035057 A1 | Feb 2018 | US |
Number | Date | Country | |
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61785797 | Mar 2013 | US |
Number | Date | Country | |
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Parent | 14814291 | Jul 2015 | US |
Child | 15727932 | US | |
Parent | 14213697 | Mar 2014 | US |
Child | 14814291 | US |