Embodiments disclosed herein relate in general to camera systems that comprise two or more cameras (also referred to as “dual-cameras” or “dual-aperture cameras”) and are connected to host devices that process camera data and require synchronization between frames output by two or more cameras to reduce power consumption.
Digital camera modules are currently being incorporated into a variety of host devices. Such host devices include cellular telephones, personal data assistants (PDAs), computers, and so forth. Consumer demand for digital camera modules in host devices continues to grow.
There is an ever-increasing demand from host device manufacturers to include higher-performance cameras, with better capabilities such as optical zoom, improved low-light performance and higher image quality. To tackle this demand, new camera systems have been proposed recently. Such camera systems include two cameras aligned to look in the same direction, with partially or fully overlapping fields of view (FOVs) and are referred to herein as “dual-camera” systems (or “dual-aperture camera” systems, with two apertures A and B), see e.g. international patent applications PCT/IB2014/062180, PCT/IB2014/063393 and PCT/IB2016/050844. The two cameras may have similar FOVs or very different FOVs, depending on the lenses used in each. It has been shown (see e.g. PCT/IB2014/062180 and PCT/IB2014/063393) that the images from the two cameras may be “stitched” or “fused” together according to a dedicated algorithm to form a composite image, with improved resolution, improved noise performance and improved image quality (at least for some part of the composite image field of view). The image stitching or image fusion algorithm can be implemented in software, running on an application processor (AP), or in hardware (hard-wired implementation).
It has also been shown (see e.g. co-owned U.S. Pat. No. 9,185,291) that some dual-camera systems, such as ones that provide high-quality zoom during preview or video recording or as ones that provide enhanced low light performance, may include a transition between one camera stream to the other camera stream in order to generate an output stream of frames, which is used in turn to show the preview or to record the video. This transition takes place at a certain zoom factor (ZF) when zooming in and out. In some cases, it is beneficial to keep the transition between the two cameras as smooth as possible—for example, in case the two cameras in the dual-camera system have different FOVs and where the dual-camera system implements continuous zooming between the two cameras. A smooth transition is a transition in which the user does not notice the transition point between the two cameras. A smooth transition should be smooth in time and space, namely continuous in both aspects.
Furthermore, it is known that some dual-camera systems may include calculation of a depth map from the two camera frames. A depth map is a map of the pixels in the frame, in which each object's relative distance in a scene is determined from the spatial shift of the object's image between the two frames. In some embodiments, the depth map requires a registration step between the frames from the two cameras. A registration step is a step in which a match is found between pixels in the two images that correspond to the same object in the scene, and a disparity value that represents the offset between the location on the sensor of the two corresponding pixels is assigned to each pair of matched pixels to form a “dense disparity map”. Alternatively, a registration step may include extracting features from the two frames, finding matches between features corresponding to the same object in the scene and calculating from the matched features a “sparse depth map”. The depth map may be calculated on a preview or video stream, or on a snapshot image.
For the three applications mentioned above (fusion of two captured images, transition between two streams of frames and creating a depth map from two camera frames), the synchronization of the acquisition time of the frames is an important requirement and common practice. For example, when registering information between two frames from the two cameras, any object motion in the scene or motion of the dual-aperture camera may result in registration errors if the frame acquisition time is not synchronized within a certain period of time (e.g. less than 3-5 msec). The registration errors can lead to wrong depth estimations when calculating a depth map. In smooth transition, lack of synchronization in time between pairs of frames from the two cameras may lead to a noticeable discontinuity when switching from one camera to the other.
A known in the art synchronization method between two camera sensors includes sending a synchronization signal every frame from one sensor, denoted “master sensor”, to the second sensor, denoted “slave sensor”. This method requires the two cameras to output the stream of frames at approximately the same rate to stay synchronized (for example, both sensors will output the frames at a rate of 30 fps).
Apart from maintaining synchronization, there are other benefits to keeping the two cameras streaming in parallel at all times (even when only one camera is actually used to generate the output image or frame): first, it is desired to maintain accurate information of focus, white balance and light gain level (known as “3A information”) for both cameras, even when one is not used, in order to be able to use information from the not used camera with as small a latency as possible. If one camera is set to be in “standby” mode and does not stream frames, it may take up to several seconds until white balance, exposure and focus converge to values that match the scene when configuring the camera to start streaming frames. This time may hinder user experience and may prevent smooth transition from one camera to the other, for example when zooming-in or zooming-out, or for example when switching from regular light mode to low light mode. Second, registration may be required to be maintained at all times, for example for the purpose of calculating a depth map of the scene from the two images. However, running two camera sensors in parallel carries the penalty of doubling power consumption.
In summary, to enable fast output switching between one aperture (camera) and another aperture (camera) in a dual-camera, both camera need to be operative and synchronized. This creates a power consumption problem, since keeping two cameras fully operational results in doubling the combined camera power consumption in comparison with that of a single camera system. At present, there are no satisfactory solutions to this power consumption problem.
In exemplary embodiments, there is provided a system comprising a dual-aperture camera that includes a first camera operative to output a respective first camera output and a second camera operative to output a respective second camera output, and a synchronization and operation control module configurable to control operation of one camera in a fully operational mode and operation of the other camera in a partially operational mode, whereby operation of the dual-aperture camera with one camera in partially operational mode and another camera in fully operational mode reduces system power consumption in comparison with the system power consumption when both cameras operate in fully operational mode.
In an exemplary embodiment, the synchronization and operation control module is further configurable to output the output of the fully operational camera as a dual-aperture camera output.
In an exemplary embodiment, the first camera includes a first camera image sensor that communicates with an associated first image signal processor (ISP) and is operative to output a first stream of frames, the second camera includes a second camera image sensor that communicates with an associated second ISP and is operative to output a second stream of frames, and the synchronization and operation control module is further configurable to control operation of the first camera image sensor and/or the first ISP in a fully operational mode and operation of the second camera image sensor and/or the second ISP in a partially operational mode.
In an exemplary embodiment, the first camera includes a first camera image sensor that communicates with an associated first image signal processor (ISP) and is operative to output a first stream of frames, the second camera includes a second camera image sensor that communicates with an associated second ISP and is operative to output a second stream of frames, and the synchronization and operation control module is further configurable to control operation of the first camera image sensor and/or the first ISP in a partially operational mode and operation of the second camera image sensor and/or the second ISP in a fully operational mode.
In an exemplary embodiment, the synchronization and operation control module is further configurable to synchronize pairs of frames processed by the first ISP and the second ISP.
In an exemplary embodiment, the synchronization and operation control module is further configurable to synchronize pairs of frames processed by the first ISP and the second ISP.
In an exemplary embodiment, the control of the operation of the first camera image sensor in a fully operational mode and control of the operation of the second camera image sensor in a partially operational mode includes control of a respective frame size of each of the first and second camera image sensors.
In an exemplary embodiment, the control of the operation of the first camera image sensor in a fully operational mode and control of the operation of the second camera image sensor in a partially operational mode includes control of a respective frame rate of each of the first and second camera image sensors.
In an exemplary embodiment, the control of the operation of the first camera image sensor in a fully operational mode and control of the operation of the second camera image sensor in a partially operational mode includes control of a respective processing rate of each of the first and second ISPs.
In an exemplary embodiment, the system further comprises a smooth transition library for providing to the synchronization and operation control module an instruction used in configuring the synchronization and operation control module to control operation of each camera and to output the dual-aperture camera output.
In an exemplary embodiment, the frame size of the camera in partially operational mode is a fraction of the frame size of the camera in fully operational mode. In an exemplary embodiment, the frame rate of the camera in partially operational mode is a fraction of the frame rate of the camera in fully operational mode. In an exemplary embodiment, the ISP processing rate of the camera in partially operational mode is a fraction of the ISP processing rate of the camera in fully operational mode. Exemplarily, the value of the fraction may be a third. The fraction may of course assume any another value smaller than 1. For example, the fraction may range between ¼ and ½.
In exemplary embodiments, there is provided a method comprising providing a dual-aperture camera that includes a first camera operative to output a respective first camera output and a second camera operative to output a respective second camera output, and operating one camera in a fully operational mode and operating the other camera in a partially operational mode, thereby reducing dual-camera power consumption in comparison with a power consumption when both cameras operate in fully operational mode.
In an exemplary embodiment, the method further comprises outputting the output of the camera operating in fully operational mode as a dual-aperture camera output.
In an exemplary embodiment, the method further comprises switching between the first and second cameras and operating the second camera in a fully operational mode and the first camera in a partially operational mode.
In an exemplary embodiment, the camera output includes a respective stream of frames, and the method further comprises synchronizing a parameter of the output of the camera operating in fully operational mode with a parameter of the output of the camera operating in partially operational mode before outputting a dual-camera output.
Aspects, embodiments and features disclosed herein will become apparent from the following detailed description when considered in conjunction with the accompanying drawings.
Embodiments disclosed below relate to dual-aperture cameras with reduced power consumption and methods for operating such cameras. Each camera in the dual-aperture camera includes a camera image sensor (or simply “sensor”) which is in communication with an associated image signal processor (ISP). In some embodiments, the two sensors may be associated with a single ISP and time-share it. The reduced power consumption arises from the fact that most of the time one camera is “fully operational” while the other camera is less than fully operational or “partially operational”. As used herein, “fully operational camera” or “camera in fully operational mode” refers to a camera in which the operation of the respective image sensor is at a regular frame rate or frame size and the operation of the associated ISP is at a regular ISP processing rate. As used herein, “partially operational camera” or “camera in partially operational mode” refers to a camera in which the operation of the respective image sensor is at a reduced frame rate or frame size relative to its fully operational frame rate or frame size, and/or that the operation of the associated ISP is at a reduced processing rate relative to its regular (fully operational) ISP processing rate. In one example, the fully operational camera may output frames at 30-60 frames per second (FPS), while the partially operational camera may output frames at a lower rate of 5-10 FPS. In another example, the fully operational camera may output frames at 13 Mpxl size per frame, while the partially operational camera may output frames at a lower size of 0.2-8 Mpxl per frame.
A synchronization mechanism enables fast switching of the dual-aperture camera output from the output of the fully operational camera to the output of the partially operational camera. The synchronization mechanism may be performed exemplarily by a dedicated software (SW) module. Alternatively, the synchronization mechanism may be included in hardware (HW). The novel synchronization mechanism and method presented below allow synchronization of two camera streams even when one camera is fully operational while the other camera is partially operational. The disclosed synchronization keeps frames of the two cameras synchronized while reducing power consumption, and allows calculation of a depth map from respective frames of the two cameras at all times.
Switching between cameras is decided by user inputs, such as selection of zoom factor or scene, and is done by a smooth transition library, see below. Exemplarily, the library is a smooth transition library. The way a decision on the timing of transition is made is known in the art, see e.g. co-owned U.S. Pat. No. 9,185,291. Just before the dual-aperture camera output is switched from the output of the fully operational camera to the output of the partially operational camera, the partially operational camera becomes fully operational with respective fully operational frame rate and/or frame size and/or ISP processing rate. After the dual-aperture camera output switching, the fully operational camera becomes partially operational, with respective partially operational frame rate and/or frame size and/or ISP processing rate. If the fully operational camera was to stop streaming frames instead of being switched to “partially operational” mode, the switching time from the fully operational camera to the partial operational camera would have increased compared to the switching time when using the proposed operation of the partially operational camera. If the partially operational camera was to operate at full rate and a full frame size while the fully operational camera outputs frames, the power consumption of the entire dual-camera system would have increased, compared to the power consumption when using the proposed operation of the partially operational camera.
System 100 further includes a synchronization and operation control module 120 (in short and for simplicity “module 120”). Module 120 controls the frame rates and/or sizes at which sensors 106 and 110 operate and the processing rates at which the associated ISPs 112 and 114 operate and is also in charge of synchronizing pairs of frames that are processed and output by ISPs 112 and 114. System 100 further includes a smooth transition library 130. Module 120 receives frames and frame parameters such as time stamps and requested frame rates from ISPs 112 and 114 and/or from smooth transition library 130, and operates based on these parameters. Module 120 communicates with sensors 106 and 110 through, respectively, digital control channels 122 and 124.
The frames output by ISPs 112 and 114 are passed to smooth transition library 130 along with other parameters such as frames sizes, exposure time, analog gain information, ISP crop and scale information, frame rate, focus position information and requested zoom factor. Smooth transition library 130 is responsible for smoothly transitioning from one stream of frames to another stream of frames, depending on several parameters such as zoom factor, object depths in the pictured scene, etc. The smooth transition library can send a signal to module 120 to change a partially operational camera to be a fully operational camera and vice versa, and/or to change the frame size and/or to change the frame rate of the camera sensor and/or to change the processing rate of the respective ISP.
In some embodiments, the control of the frame rate by module 120 may be performed via increasing or decreasing the vertical blanking time of sensors 106 and 110. Increasing the vertical blanking time reduces the frame rate, while decreasing the vertical blanking time increases the frame rate.
Modules 120 and 130 may be software modules or may be implemented in hardware (HW). They may be included in a single HW processor or in several HW processors. Modules 112 and 114 are usually HW modules. ISP 112 and ISP 114 may be implemented in separate HW modules (e.g. micro-processor, CPU, GPU, dedicated hardware, FPGA etc.) or in a single HW module.
Following is a first embodiment of an exemplary method of operation of system 100 and in particular of operation of module 120 in a desired scenario in which one sensor (110) streams frames at a low frame rate and the other sensor (106) streams frames at a high frame rate. Thus in this example, sensor 110 is the sensor of the “partially operational” camera and sensor 106 is the sensor of the “fully operational” camera. It should be noted that the role of low-frame-rate-sensor (partially operational) and high-frame-rate-sensor (fully operational) is interchangeable within the same system, and their definitions depend on parameters such as zoom factor and pictured scene information, and shown here only by means of example. It should also be noted that in this scenario, the operation rates of ISPs 112 and 114 match the rate of the streams of frames that arrive from sensors 106 and 110, respectively. For example, if sensor 110 streams at low frame rate, the operation rate of ISP 114 is reduced compared to that of ISP 112, which receives frames at a higher frame rate from sensor 106. In the exemplary operation and in detail:
1. Module 120 configures the vertical blanking time of sensor 106 to a value such that the sensor streams frames at a high frame rate, for example 30 FPS. Module 120 also configures the vertical blanking time of sensor 110 to a value such that it streams frames at a rate that is an integer divisor (fraction) of the high frame rate of sensor 106 (e.g. such that the frame rate ratio between the rates is 1/n, n being exemplarily an integer equal to or larger than 2).
2. Module 120 operates at the same frame rate as the high frame rate sensor. It continuously receives a new pair of frames from ISPs 112 and 114, along with meta-data information such as frame time stamps for each frame and a valid/invalid descriptor, which indicates whether the input frames are valid ones or not. The frames streamed from sensor 106 are all marked as “valid” frames. Frames streamed from sensor 110 are also marked as “valid” frames. However, if there is a pair of frames in which one frame from sensor 106 is valid and there is no corresponding frame from sensor 110, then a “dummy” frame may be used instead of the missing low-frame-rate frame and such dummy frame is marked as an “invalid” frame. For example, if sensor 106 streams at 30 FPS and sensor 110 streams at ⅓ of the high frame rate (i.e. at 10 FPS), then module 120 will receive a valid frame from sensor 106 about every 1/30 second and a valid frame from sensor about 110 about every 1/10 second. Since module 120 operates at the high frame rate, it will receive two valid frames only every 3rd operation. Alternatively, module 120 may be called only when two valid input frames are available.
3. Module 120 compares the time stamps of the valid pair of frames and calculates the time difference between them. It then calculates the required modifications to the vertical blanking time of sensors 106 and/or 110 so that the time difference between the two valid frames will be minimized, and configures sensor 110 and/or sensor 106 to a new vertical blanking time.
4. Changes are applied to sensors 106 and/or 110 by sending a command through digital control channels 122 and 124 (e.g. I2C channels).
5. The requested frame rate from each of sensors 106 and 110 can be decided based on smooth transition library 130 requests. Smooth transition library 130 may request control module 120 to configure the same frame rate and/or frame size or different frame rates and/or frame sizes from sensors 106 and 110, based on different parameters such as zoom factor, scene parameters, system performance and user preference.
Following is a second embodiment of an exemplary method of operation of system 100 and in particular of module 120 in a desired scenario in which sensors 106 and 110 both stream frames at a high frame rate, ISP 114 processes frames at a low frame rate and ISP 112 processes frames at a high frame rate. Thus in this example, ISP 114 is the ISP of “partially operational” camera and ISP 112 is the ISP of “fully operational” camera. In this scenario, module 120 only controls the processing rates of ISP 112 and ISP 114. Frames that reach ISP 114 at high frame rate and are not processed by it are discarded. It should be noted that the role of low-frame-rate-sensor and high-frame-rate-sensor is interchangeable within the same system, and their definitions depend on parameters such as zoom factor and pictured scene information, and the exemplary selected roles are shown here only by means of example. In the exemplary operation and in detail:
1. Module 120 configures both the vertical blanking times of sensor 106 and sensor 110 and also the rates at which ISP 112 and ISP 114 operate. For example, sensors 106 and 110 are configured to stream frames at 30 FPS, ISP 112 is configured to operate at a rate equivalent to 30 FPS and ISP 114 is configured to operate at a rate equivalent to 10 FPS. The rate at which ISP 114 is configured to operate is set to be an integer divisor of the rate that ISP 112 is configured to operate in (e.g. so that the frame rate ratio between the rates is 1/n, n being an integer equal to or larger than 2).
2. Module 120 operates at the same frame rate as the high frame rate ISP 112. It continuously receives a new pair of frames from ISPs 112 and 114, along with meta-data information such as frame time stamps for each frame and a valid/invalid descriptor, which indicates whether the input frames are valid ones or not. The frames streamed from ISP 112 are all marked as “valid” frames. Frames streamed from ISP 114 are also marked as “valid” frames. However, if there is a pair of frames in which one frame arrives from ISP 112 and there is no corresponding frame from ISP 114, then a “dummy” frame may be used instead of the missing low-frame-rate frame and it is marked as an “invalid” frame. For example, if ISP 112 processes frames at 30 FPS and ISP 114 processes frames at ⅓ of the high frame rate, then module 120 will receive a valid frame from ISP 112 about every 1/30 second and a valid frame from ISP 114 about every 1/10 second. Since module 120 operates at the high frame rate, then it will receive two valid frames only every 3rd operation. Alternatively, module 120 may be called only when two valid input frames are available.
3. Module 120 compares the time stamps of the valid pair of frames and calculates the time difference between them. It then calculates the required modifications to the operation rates of ISP 112 and ISP 114 and also the modification to the vertical blanking time of sensors 106 and/or 110, such that the time difference between the two valid frames will be minimized.
4. Changes are applied to sensors 106 and/or 110 via sending a command through digital control channels 122 and 124 (e.g. I2C channels).
In both of the examples above, the requested frame rate from each of sensors 106 and 110 and ISPs 112 and 114 can be decided based on smooth transition library 130 requests as known in the art, see e.g. co-owned U.S. Pat. No. 9,185,291. Library 130 may request module 120 to configure the same frame rate or different frame rates from sensors 106 and 110 and ISPs 112 and 114, based on different parameters like zoom factor, scene parameters, system performance and user preference.
Following is a third embodiment of an exemplary method of operation of system 100 and in particular of module 120 in a desired scenario where one sensor (110) streams frames at a low frame size and the other sensor (106) streams frames at a high frame size. In this case sensor 106 is the sensor of the fully operational camera and sensor 110 is the sensor of the partially operational camera. It should be noted that the role of low-frame-size-sensor (partially operational) and high-frame-size-sensor (fully operational) is interchangeable within the same system, and that their definitions depend on parameters such as zoom factor and pictured scene information, and shown here only by means of example. It should also be noted that in this scenario, the ISPs 112 and 114 operation complexity depends on the frame streams that arrive from sensors 106 and 110, respectively (for example, if sensor 110 streams at low frame size, the operation complexity of ISP 114 is reduced compared to that of ISP 112, which receives frames at a high frame size from sensor 106):
1. Module 120 configures the vertical blanking time of both sensors 106 and 110 to a value such that each sensor stream frames at a desired frame rate, for example 30 FPS.
2. Module 120 also configures the frame size of sensor 106 to high frame size (e.g. 13 mpxl) and the frame size of sensor 110 to a low frame size (e.g. 0.5 mpxl). It further informs ISPs 112 and 114 on the expected frame size for each ISP.
3. ISPs 112 and 114 set active and non-active hardware chains according to expected frame rate. ISPs 114 can for example reduce the number of active transistors (turn unneeded transistors off) and can reduce the overall power consumption.
4. Module 120 operates at the same frame rate as the sensors. It continuously receives a new pair of frames from ISPs 112 and 114, along with meta-data information such as frame time stamps for each frame.
5. Module 120 compares the time stamps of each pair of frames and calculates the time difference between them. It then calculates the required modifications to the vertical blanking times of sensors 106 and/or 110 so that the time difference between the two valid frames will be minimized, and configures sensor 110 and/or sensor 106 to a new vertical blanking time.
6. Changes are applied to sensors 106 and/or 110 via sending a command through digital control channels 122 and 124 (e.g. I2C channels).
7. The requested frame size from each of sensors 106 and 110 can be decided based on smooth transition library 130 requests. Smooth transition library 130 may request SW synchronization and operation control module 120 to configure the same frame size or different frame sizes from sensors 106 and 110, based on different parameters like zoom factor, scene parameters, system performance and user preference.
In a fourth embodiment of an exemplary method of operation of system 100, system 100 may operate such that one sensor is streaming at full frame rate and high frame size, while the second sensor operate at a low frame rate and a low frame size. In this embodiment, there is implementation of a combination of the operation methods presented above.
Table 1 shows a comparison of the four methods, with optional reduction of power. With the partially operational camera, each cell with “Full” text represents work at full power consumption, while each cell with “Partial” text represents reduction of power.
In summary, the present application discloses a system and methods for operating the same, the system including a dual-camera in which the combined preview or video output comes either from one camera or another camera, depending on user defined zoom factor, scene selection and other parameters. Fast output switching with minimal power consumption penalty is enabled by operating the camera not used to generate the dual-camera image output in a special (partial) operation mode.
The various features and steps discussed above, as well as other known equivalents for each such feature or step, can be mixed and matched by one of ordinary skill in this art to perform methods in accordance with principles described herein. Although the disclosure has been provided in the context of certain embodiments and examples, it will be understood by those skilled in the art that the disclosure extends beyond the specifically described embodiments to other alternative embodiments and/or uses and obvious modifications and equivalents thereof. Accordingly, the disclosure is not intended to be limited by the specific disclosures of embodiments herein. For example, while this description is focused on a dual-aperture camera, multi-aperture cameras with more than two apertures (cameras) may benefit from application of the methods described herein, if applied to any two cameras in a multi-aperture camera. In general, the disclosure is to be understood as not limited by the specific embodiments described herein, but only by the scope of the appended claims.
Unless otherwise stated, the use of the expression “and/or” between the last two members of a list of options for selection indicates that a selection of one or more of the listed options is appropriate and may be made.
It should be understood that where the claims or specification refer to “a” or “an” element, such reference is not to be construed as there being only one of that element.
All references mentioned in this specification are herein incorporated in their entirety by reference into the specification, to the same extent as if each individual reference was specifically and individually indicated to be incorporated herein by reference. In addition, citation or identification of any reference in this application shall not be construed as an admission that such reference is available as prior art to the present application.
This application is a Continuation from U.S. patent application Ser. No. 16/055,120 filed Aug. 5, 2018 (now allowed), which was a Continuation from U.S. patent application Ser. No. 15/570,346 filed Oct. 29, 2017 (issued as U.S. Pat. No. 10,616,484), which was a 371 application from international patent application PCT/IB2017/053470, and is related to and claims priority from U.S. Provisional Patent Application No. 62/351,990 filed Jun. 19, 2016, which is incorporated herein by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
4199785 | McCullough et al. | Apr 1980 | A |
5005083 | Grage et al. | Apr 1991 | A |
5032917 | Aschwanden | Jul 1991 | A |
5041852 | Misawa et al. | Aug 1991 | A |
5051830 | von Hoessle | Sep 1991 | A |
5099263 | Matsumoto et al. | Mar 1992 | A |
5248971 | Mandi | Sep 1993 | A |
5287093 | Amano et al. | Feb 1994 | A |
5394520 | Hall | Feb 1995 | A |
5436660 | Sakamoto | Jul 1995 | A |
5444478 | Lelong et al. | Aug 1995 | A |
5459520 | Sasaki | Oct 1995 | A |
5657402 | Bender et al. | Aug 1997 | A |
5682198 | Katayama et al. | Oct 1997 | A |
5768443 | Michael et al. | Jun 1998 | A |
5926190 | Turkowski et al. | Jul 1999 | A |
5940641 | McIntyre et al. | Aug 1999 | A |
5982951 | Katayama et al. | Nov 1999 | A |
6101334 | Fantone | Aug 2000 | A |
6128416 | Oura | Oct 2000 | A |
6148120 | Sussman | Nov 2000 | A |
6208765 | Bergen | Mar 2001 | B1 |
6268611 | Pettersson et al. | Jul 2001 | B1 |
6549215 | Jouppi | Apr 2003 | B2 |
6611289 | Yu et al. | Aug 2003 | B1 |
6643416 | Daniels et al. | Nov 2003 | B1 |
6650368 | Doron | Nov 2003 | B1 |
6680748 | Monti | Jan 2004 | B1 |
6714665 | Hanna et al. | Mar 2004 | B1 |
6724421 | Glatt | Apr 2004 | B1 |
6738073 | Park et al. | May 2004 | B2 |
6741250 | Furlan et al. | May 2004 | B1 |
6750903 | Miyatake et al. | Jun 2004 | B1 |
6778207 | Lee et al. | Aug 2004 | B1 |
7002583 | Rabb, III | Feb 2006 | B2 |
7015954 | Foote et al. | Mar 2006 | B1 |
7038716 | Klein et al. | May 2006 | B2 |
7199348 | Olsen et al. | Apr 2007 | B2 |
7206136 | Labaziewicz et al. | Apr 2007 | B2 |
7248294 | Slatter | Jul 2007 | B2 |
7256944 | Labaziewicz et al. | Aug 2007 | B2 |
7305180 | Labaziewicz et al. | Dec 2007 | B2 |
7339621 | Fortier | Mar 2008 | B2 |
7346217 | Gold, Jr. | Mar 2008 | B1 |
7365793 | Cheatle et al. | Apr 2008 | B2 |
7411610 | Doyle | Aug 2008 | B2 |
7424218 | Baudisch et al. | Sep 2008 | B2 |
7509041 | Hosono | Mar 2009 | B2 |
7533819 | Barkan et al. | May 2009 | B2 |
7619683 | Davis | Nov 2009 | B2 |
7738016 | Toyofuku | Jun 2010 | B2 |
7773121 | Huntsberger et al. | Aug 2010 | B1 |
7809256 | Kuroda et al. | Oct 2010 | B2 |
7880776 | LeGall et al. | Feb 2011 | B2 |
7918398 | Li et al. | Apr 2011 | B2 |
7964835 | Olsen et al. | Jun 2011 | B2 |
7978239 | Deever et al. | Jul 2011 | B2 |
8115825 | Culbert et al. | Feb 2012 | B2 |
8149327 | Lin et al. | Apr 2012 | B2 |
8154610 | Jo et al. | Apr 2012 | B2 |
8238695 | Davey et al. | Aug 2012 | B1 |
8274552 | Dahi et al. | Sep 2012 | B2 |
8390729 | Long et al. | Mar 2013 | B2 |
8391697 | Cho et al. | Mar 2013 | B2 |
8400555 | Georgiev et al. | Mar 2013 | B1 |
8439265 | Ferren et al. | May 2013 | B2 |
8446484 | Muukki et al. | May 2013 | B2 |
8483452 | Ueda et al. | Jul 2013 | B2 |
8514491 | Duparre | Aug 2013 | B2 |
8547389 | Hoppe et al. | Oct 2013 | B2 |
8553106 | Scarff | Oct 2013 | B2 |
8587691 | Takane | Nov 2013 | B2 |
8619148 | Watts et al. | Dec 2013 | B1 |
8803990 | Smith | Aug 2014 | B2 |
8896655 | Mauchly et al. | Nov 2014 | B2 |
8976255 | Matsuoto et al. | Mar 2015 | B2 |
9019387 | Nakano | Apr 2015 | B2 |
9025073 | Attar et al. | May 2015 | B2 |
9025077 | Attar et al. | May 2015 | B2 |
9041835 | Honda | May 2015 | B2 |
9137447 | Shibuno | Sep 2015 | B2 |
9185291 | Shabtay et al. | Nov 2015 | B1 |
9215377 | Sokeila et al. | Dec 2015 | B2 |
9215385 | Luo | Dec 2015 | B2 |
9270875 | Brisedoux et al. | Feb 2016 | B2 |
9286680 | Jiang et al. | Mar 2016 | B1 |
9344626 | Silverstein et al. | May 2016 | B2 |
9360671 | Zhou | Jun 2016 | B1 |
9369621 | Malone et al. | Jun 2016 | B2 |
9413930 | Geerds | Aug 2016 | B2 |
9413984 | Attar et al. | Aug 2016 | B2 |
9420180 | Jin | Aug 2016 | B2 |
9438792 | Nakada et al. | Sep 2016 | B2 |
9485432 | Medasani et al. | Nov 2016 | B1 |
9578257 | Attar et al. | Feb 2017 | B2 |
9618748 | Munger et al. | Apr 2017 | B2 |
9681057 | Attar et al. | Jun 2017 | B2 |
9723220 | Sugie | Aug 2017 | B2 |
9736365 | Laroia | Aug 2017 | B2 |
9736391 | Du et al. | Aug 2017 | B2 |
9768310 | Ahn et al. | Sep 2017 | B2 |
9800798 | Ravirala et al. | Oct 2017 | B2 |
9851803 | Fisher et al. | Dec 2017 | B2 |
9894287 | Qian et al. | Feb 2018 | B2 |
9900522 | Lu | Feb 2018 | B2 |
9927600 | Goldenberg et al. | Mar 2018 | B2 |
20020005902 | Yuen | Jan 2002 | A1 |
20020030163 | Zhang | Mar 2002 | A1 |
20020063711 | Park et al. | May 2002 | A1 |
20020075258 | Park et al. | Jun 2002 | A1 |
20020122113 | Foote | Sep 2002 | A1 |
20020167741 | Koiwai et al. | Nov 2002 | A1 |
20030030729 | Prentice et al. | Feb 2003 | A1 |
20030093805 | Gin | May 2003 | A1 |
20030160886 | Misawa et al. | Aug 2003 | A1 |
20030202113 | Yoshikawa | Oct 2003 | A1 |
20040008773 | Itokawa | Jan 2004 | A1 |
20040012683 | Yamasaki et al. | Jan 2004 | A1 |
20040017386 | Liu et al. | Jan 2004 | A1 |
20040027367 | Pilu | Feb 2004 | A1 |
20040061788 | Bateman | Apr 2004 | A1 |
20040141065 | Hara et al. | Jul 2004 | A1 |
20040141086 | Mihara | Jul 2004 | A1 |
20040240052 | Minefuji et al. | Dec 2004 | A1 |
20050013509 | Samadani | Jan 2005 | A1 |
20050046740 | Davis | Mar 2005 | A1 |
20050157184 | Nakanishi et al. | Jul 2005 | A1 |
20050168834 | Matsumoto et al. | Aug 2005 | A1 |
20050185049 | Iwai et al. | Aug 2005 | A1 |
20050200718 | Lee | Sep 2005 | A1 |
20060054782 | Olsen et al. | Mar 2006 | A1 |
20060056056 | Ahiska et al. | Mar 2006 | A1 |
20060067672 | Washisu et al. | Mar 2006 | A1 |
20060102907 | Lee et al. | May 2006 | A1 |
20060125937 | LeGall et al. | Jun 2006 | A1 |
20060170793 | Pasquarette et al. | Aug 2006 | A1 |
20060175549 | Miller et al. | Aug 2006 | A1 |
20060187310 | Janson et al. | Aug 2006 | A1 |
20060187322 | Janson et al. | Aug 2006 | A1 |
20060187338 | May et al. | Aug 2006 | A1 |
20060227236 | Pak | Oct 2006 | A1 |
20070024737 | Nakamura et al. | Feb 2007 | A1 |
20070126911 | Nanjo | Jun 2007 | A1 |
20070177025 | Kopet et al. | Aug 2007 | A1 |
20070188653 | Pollock et al. | Aug 2007 | A1 |
20070189386 | Imagawa et al. | Aug 2007 | A1 |
20070257184 | Olsen et al. | Nov 2007 | A1 |
20070285550 | Son | Dec 2007 | A1 |
20080017557 | Witdouck | Jan 2008 | A1 |
20080024614 | Li et al. | Jan 2008 | A1 |
20080025634 | Border et al. | Jan 2008 | A1 |
20080030592 | Border et al. | Feb 2008 | A1 |
20080030611 | Jenkins | Feb 2008 | A1 |
20080084484 | Ochi et al. | Apr 2008 | A1 |
20080106629 | Kurtz et al. | May 2008 | A1 |
20080117316 | Orimoto | May 2008 | A1 |
20080129831 | Cho et al. | Jun 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 |
20090086074 | Li et al. | Apr 2009 | A1 |
20090109556 | Shimizu et al. | Apr 2009 | A1 |
20090122195 | Van Baar et al. | May 2009 | A1 |
20090122406 | Rouvinen et al. | May 2009 | A1 |
20090128644 | Camp et al. | May 2009 | A1 |
20090219547 | Kauhanen et al. | Sep 2009 | A1 |
20090252484 | Hasuda et al. | Oct 2009 | A1 |
20090295949 | Ojala | Dec 2009 | A1 |
20090324135 | Kondo et al. | Dec 2009 | A1 |
20100013906 | Border et al. | Jan 2010 | A1 |
20100020221 | Tupman et al. | Jan 2010 | A1 |
20100060746 | Olsen et al. | Mar 2010 | A9 |
20100097444 | Lablans | Apr 2010 | A1 |
20100103194 | Chen et al. | Apr 2010 | A1 |
20100165131 | Makimoto et al. | Jul 2010 | A1 |
20100196001 | Ryynänen et al. | Aug 2010 | A1 |
20100238327 | Griffith et al. | Sep 2010 | A1 |
20100259836 | Kang et al. | Oct 2010 | A1 |
20100283842 | Guissin et al. | Nov 2010 | A1 |
20100321494 | Peterson et al. | Dec 2010 | A1 |
20110058320 | Kim et al. | Mar 2011 | A1 |
20110063417 | Peters et al. | Mar 2011 | A1 |
20110063446 | McMordie et al. | Mar 2011 | A1 |
20110064327 | Dagher et al. | Mar 2011 | A1 |
20110080487 | Venkataraman et al. | Apr 2011 | A1 |
20110128288 | Petrou et al. | Jun 2011 | A1 |
20110164172 | Shintani et al. | Jul 2011 | A1 |
20110229054 | Weston et al. | Sep 2011 | A1 |
20110234798 | Chou | Sep 2011 | A1 |
20110234853 | Hayashi et al. | Sep 2011 | A1 |
20110234881 | Wakabayashi et al. | Sep 2011 | A1 |
20110242286 | Pace et al. | Oct 2011 | A1 |
20110242355 | Goma et al. | Oct 2011 | A1 |
20110298966 | Kirschstein et al. | Dec 2011 | A1 |
20120026366 | Golan et al. | Feb 2012 | A1 |
20120044372 | Cote et al. | Feb 2012 | A1 |
20120062780 | Morihisa | Mar 2012 | A1 |
20120069235 | Imai | Mar 2012 | A1 |
20120075489 | Nishihara | Mar 2012 | A1 |
20120105579 | Jeon et al. | May 2012 | A1 |
20120124525 | Kang | May 2012 | A1 |
20120154547 | Aizawa | Jun 2012 | A1 |
20120154614 | Moriya et al. | Jun 2012 | A1 |
20120196648 | Havens et al. | Aug 2012 | A1 |
20120229663 | Nelson et al. | Sep 2012 | A1 |
20120249815 | Bohn et al. | Oct 2012 | A1 |
20120287315 | Huang et al. | Nov 2012 | A1 |
20120320467 | Baik et al. | Dec 2012 | A1 |
20130002928 | Imai | Jan 2013 | A1 |
20130016427 | Sugawara | Jan 2013 | A1 |
20130063629 | Webster et al. | Mar 2013 | A1 |
20130076922 | Shihoh et al. | Mar 2013 | A1 |
20130093842 | Yahata | Apr 2013 | A1 |
20130094126 | Rappoport et al. | Apr 2013 | A1 |
20130113894 | Mirlay | May 2013 | A1 |
20130135445 | Dahi | May 2013 | A1 |
20130155176 | Paripally et al. | Jun 2013 | A1 |
20130182150 | Asakura | Jul 2013 | A1 |
20130201360 | Song | Aug 2013 | A1 |
20130202273 | Ouedraogo et al. | Aug 2013 | A1 |
20130235224 | Park et al. | Sep 2013 | A1 |
20130250150 | Malone et al. | Sep 2013 | A1 |
20130258044 | Betts-Lacroix | Oct 2013 | A1 |
20130270419 | Singh et al. | Oct 2013 | A1 |
20130278785 | Nomura et al. | Oct 2013 | A1 |
20130321668 | Kamath | Dec 2013 | A1 |
20140009631 | Topliss | Jan 2014 | A1 |
20140049615 | Uwagawa | Feb 2014 | A1 |
20140118584 | Lee et al. | May 2014 | A1 |
20140160311 | Hwang et al. | Jun 2014 | A1 |
20140192238 | Attar et al. | Jul 2014 | A1 |
20140192253 | Laroia | Jul 2014 | A1 |
20140218587 | Shah | Aug 2014 | A1 |
20140313316 | Olsson et al. | Oct 2014 | A1 |
20140362242 | Takizawa | Dec 2014 | A1 |
20150002683 | Hu et al. | Jan 2015 | A1 |
20150042870 | Chan et al. | Feb 2015 | A1 |
20150070781 | Cheng et al. | Mar 2015 | A1 |
20150092066 | Geiss et al. | Apr 2015 | A1 |
20150103147 | Ho et al. | Apr 2015 | A1 |
20150138381 | Ahn | May 2015 | A1 |
20150154776 | Zhang et al. | Jun 2015 | A1 |
20150162048 | Hirata et al. | Jun 2015 | A1 |
20150195458 | Nakayama et al. | Jul 2015 | A1 |
20150215516 | Dolgin | Jul 2015 | A1 |
20150237280 | Choi et al. | Aug 2015 | A1 |
20150242994 | Shen | Aug 2015 | A1 |
20150244906 | Wu et al. | Aug 2015 | A1 |
20150253543 | Mercado | Sep 2015 | A1 |
20150253647 | Mercado | Sep 2015 | A1 |
20150261299 | Wajs | Sep 2015 | A1 |
20150271471 | Hsieh et al. | Sep 2015 | A1 |
20150281678 | Park et al. | Oct 2015 | A1 |
20150286033 | Osborne | Oct 2015 | A1 |
20150316744 | Chen | Nov 2015 | A1 |
20150334309 | Peng et al. | Nov 2015 | A1 |
20160044250 | Shabtay et al. | Feb 2016 | A1 |
20160070088 | Koguchi | Mar 2016 | A1 |
20160154202 | Wippermann et al. | Jun 2016 | A1 |
20160154204 | Lim et al. | Jun 2016 | A1 |
20160212358 | Shikata | Jul 2016 | A1 |
20160212418 | Demirdjian et al. | Jul 2016 | A1 |
20160241751 | Park | Aug 2016 | A1 |
20160291295 | Shabtay et al. | Oct 2016 | A1 |
20160295112 | Georgiev et al. | Oct 2016 | A1 |
20160301840 | Du et al. | Oct 2016 | A1 |
20160353008 | Osborne | Dec 2016 | A1 |
20160353012 | Kao et al. | Dec 2016 | A1 |
20170019616 | Zhu et al. | Jan 2017 | A1 |
20170070731 | Darling et al. | Mar 2017 | A1 |
20170187962 | Lee et al. | Jun 2017 | A1 |
20170214846 | Du et al. | Jul 2017 | A1 |
20170214866 | Zhu et al. | Jul 2017 | A1 |
20170242225 | Fiske | Aug 2017 | A1 |
20170289458 | Song et al. | Oct 2017 | A1 |
20170359494 | Zhou | Dec 2017 | A1 |
20180013944 | Evans, V et al. | Jan 2018 | A1 |
20180017844 | Yu et al. | Jan 2018 | A1 |
20180024329 | Goldenberg et al. | Jan 2018 | A1 |
20180059379 | Chou | Mar 2018 | A1 |
20180120674 | Avivi et al. | May 2018 | A1 |
20180150973 | Tang et al. | May 2018 | A1 |
20180176426 | Wei et al. | Jun 2018 | A1 |
20180198897 | Tang et al. | Jul 2018 | A1 |
20180241922 | Baldwin et al. | Aug 2018 | A1 |
20180295292 | Lee et al. | Oct 2018 | A1 |
20180300901 | Wakai et al. | Oct 2018 | A1 |
20190121103 | Bachar et al. | Apr 2019 | A1 |
Number | Date | Country |
---|---|---|
101276415 | Oct 2008 | CN |
201514511 | Jun 2010 | CN |
102739949 | Oct 2012 | CN |
103024272 | Apr 2013 | CN |
103841404 | Jun 2014 | CN |
1536633 | Jun 2005 | EP |
1780567 | May 2007 | EP |
2523450 | Nov 2012 | EP |
S59191146 | Oct 1984 | JP |
04211230 | Aug 1992 | JP |
H07318864 | Dec 1995 | JP |
08271976 | Oct 1996 | JP |
2002010276 | Jan 2002 | JP |
2003298920 | Oct 2003 | JP |
2004133054 | Apr 2004 | JP |
2004245982 | Sep 2004 | JP |
2005099265 | Apr 2005 | JP |
2006238325 | Sep 2006 | JP |
2007228006 | Sep 2007 | JP |
2007306282 | Nov 2007 | JP |
2008076485 | Apr 2008 | JP |
2010204341 | Sep 2010 | JP |
2011085666 | Apr 2011 | JP |
2013106289 | May 2013 | JP |
20070005946 | Jan 2007 | KR |
20090058229 | Jun 2009 | KR |
20100008936 | Jan 2010 | KR |
20140014787 | Feb 2014 | KR |
101477178 | Dec 2014 | KR |
20140144126 | Dec 2014 | KR |
20150118012 | Oct 2015 | KR |
2000027131 | May 2000 | WO |
2004084542 | Sep 2004 | WO |
2006008805 | Jan 2006 | WO |
2010122841 | Oct 2010 | WO |
2014072818 | May 2014 | WO |
2017025822 | Feb 2017 | WO |
2017037688 | Mar 2017 | WO |
2018130898 | Jul 2018 | WO |
Entry |
---|
Statistical Modeling and Performance Characterization of a Real-Time Dual Camera Surveillance System, Greienhagen et al., Publisher: IEEE, 2000, 8 pages. |
A 3MPixel Multi-Aperture Image Sensor with 0.7μm Pixels in 0.11μm CMOS, Fife et al., Stanford University, 2008, 3 pages. |
Dual camera intelligent sensor for high definition 360 degrees surveillance, Scotti et al., Publisher: IET, May 9, 2000, 8 pages. |
Dual-sensor foveated imaging system, Hua et al., Publisher: Optical Society of America, Jan. 14, 2008, 11 pages. |
Defocus Video Matting, McGuire et al., Publisher: ACM SIGGRAPH, Jul. 31, 2005, 11 pages. |
Compact multi-aperture imaging with high angular resolution, Santacana et al., Publisher: Optical Society of America, 2015, 10 pages. |
Multi-Aperture Photography, Green et al., Publisher: Mitsubishi Electric Research Laboratories, Inc., Jul. 2007, 10 pages. |
Multispectral Bilateral Video Fusion, Bennett et al., Publisher: IEEE, May 2007, 10 pages. |
Super-resolution imaging using a camera array, Santacana et al., Publisher: Optical Society of America, 2014, 6 pages. |
Optical Splitting Trees for High-Precision Monocular Imaging, McGuire et al., Publisher: IEEE, 2007, 11 pages. |
High Performance Imaging Using Large Camera Arrays, Wilburn et al., Publisher: Association for Computing Machinery, Inc., 2005, 12 pages. |
Real-time Edge-Aware Image Processing with the Bilateral Grid, Chen et al., Publisher: ACM SIGGRAPH, 2007, 9 pages. |
Superimposed multi-resolution imaging, Carles et al., Publisher: Optical Society of America, 2017, 13 pages. |
Viewfinder Alignment, Adams et al., Publisher: EUROGRAPHICS, 2008, 10 pages. |
Dual-Camera System for Multi-Level Activity Recognition, Bodor et al., Publisher: IEEE, Oct. 2014, 6 pages. |
Engineered to the task: Why camera-phone cameras are different, Giles Humpston, Publisher: Solid State Technology, Jun. 2009, 3 pages. |
Number | Date | Country | |
---|---|---|---|
20220030167 A1 | Jan 2022 | US |
Number | Date | Country | |
---|---|---|---|
62351990 | Jun 2016 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 16055120 | Aug 2018 | US |
Child | 17496773 | US | |
Parent | 15570346 | US | |
Child | 16055120 | US |