The present invention generally relates to image processing and more particularly relates to systems and methods for processing images having distortions.
Image processing systems are employed in a wide variety of situations such as for reading a barcode, identifying a dollar value written on a check, recognizing a person in a photograph, or executing an optical character recognition (OCR) procedure upon a page of text. Many of these image processing systems can be quite effective when the medium on which an image is imprinted is free of distortion. For example, a check reader can readily recognize the monetary value entered in a check when the check is free of wrinkles and is aligned correctly when inserted into an automated teller machine. However, in some cases, the medium can have distortions that render the task of an image processing system difficult. For example, an OCR application may incorrectly interpret text provided on a page (or a piece of cloth) that is skewed and/or contains wrinkles. A skewed page constitutes what can be termed a linear distortion, and some OCR systems can accommodate this form of linear distortion by using a linear transformation procedure that takes into account a linear, spatial displacement of various features in the skewed page. However, procedures used to process images having linear distortions are typically computationally laborious, expensive, and slow. Procedures used for processing images having non-linear distortions (such as those associated with a page having wrinkles) can be even more computationally laborious, expensive, slow, and ineffective as well.
It is therefore desirable to address and improve upon procedures associated with processing images having various types of linear and non-linear distortions.
Accordingly, in one aspect, the present disclosure embraces a method that can include providing at least one of a first object or an image of the first object and using the at least one of the first object or the image of the first object to define a triangular spatial template having vertices corresponding to a first feature located at a first spatial coordinate, a second feature located at a second spatial coordinate, and a third feature located at a third spatial coordinate. When provided only the first object, the method can include generating the image of the first object; identifying in the image of the first object, a first pixel coordinate corresponding to the first spatial coordinate, a second pixel coordinate corresponding to the second spatial coordinate, and a third pixel coordinate corresponding to the third spatial coordinate; defining a triangular pixel template having vertices corresponding to the first pixel coordinate, the second pixel coordinate, and the third pixel coordinate; and generating a distance authentication template by mapping the triangular pixel template to the triangular spatial template. The method can further include providing at least one of a second object or an image of the second object; and using the distance authentication template to identify one or more additional features in the at least one of the second object or the image of the second object, the at least one of the second object or the image of the second object comprising the first feature, the second feature, and the third feature.
In another aspect, the present disclosure pertains to a method that can include using a set of spatial coordinates to define the locations of two or more features in a distortion-free image; using a set of pixel coordinates to define the locations of the two or more features in the distortion-free image; using the set of spatial coordinates and the set of pixel coordinates to generate a distance authentication template; and using the distance authentication template to detect at least one distortion in a subject image having the two or more features.
In yet another aspect, the present disclosure pertains to an apparatus that can include an image acquisition system and an image processing system. The image acquisition system is configured to generate a subject image and the image processing system is configured to use a distance authentication template to execute a detection procedure that detects at least one non-linear distortion in the subject image, the distance authentication template comprising a mapping of a set of spatial coordinates of at least three features in a distortion-free image to a set of pixel coordinates of the at least three features in the distortion-free image.
The foregoing illustrative summary, as well as other exemplary objectives and/or advantages described in this disclosure, and the manner in which the same are accomplished, are further explained within the following detailed description and its accompanying drawings.
Throughout this description, embodiments and variations are described for the purpose of illustrating uses and implementations of inventive concepts. The illustrative description should be understood as presenting examples of inventive concepts, rather than as limiting the scope of the concepts as disclosed herein. Towards this end, certain words and terms are used herein solely for convenience and such words and terms should be broadly understood as encompassing various objects and actions that are generally understood in various forms and equivalencies by persons of ordinary skill in the art. It should also be understood that the word “example” as used herein is intended to be non-exclusionary and non-limiting in nature. More particularly, the word “exemplary” as used herein indicates one among several examples and it should be understood that no special emphasis, exclusivity, or preference, is associated or implied by the use of this word.
The present disclosure is generally directed to processing images having one or more distortions. In one exemplary embodiment in accordance with the disclosure, an image processing system is configured to use a distance authentication template to execute a detection procedure that detects at least one non-linear distortion in a subject image. The distance authentication template can be generated by mapping a set of spatial coordinates of three features in a distortion-free image to a set of pixel coordinates of the three features in the distortion-free image. Addressing a non-linear distortion in the subject image can include performing remedial actions to remedy the non-linear distortion, or taking into consideration the non-linear distortion when using the distance authentication template to identify one or more features in the subject image.
Attention is now drawn to
Irrespective of the manner in which an image is acquired, the image processing system 110 is configured in accordance with various embodiments of the disclosure to process the image in a wide variety of applications. In one example application, the image processing system 110 can be used to carry out an optical character recognition (OCR) procedure upon the image. In another example application, the image processing system 110 can be used to edit the image (edit a photograph, for example) and/or to decode the image (identifying some numerical entries in a check, for example). In yet another example application, the image processing system 110 can be used to read a barcode.
More particularly, in accordance with the disclosure, the image processing system 110 is configured to detect one or more distortions, linear as well as non-linear, in an image and to address these distortions when detecting one or more features in the image. Addressing the distortions can include taking into consideration the distortions when processing the image, and/or can include performing remedial actions to remedy one or more distortions. Towards this end, in some applications, the device 100 can be configured to automatically address certain types of distortions detected by the image processing system 110. For example, when the device 100 is a printer, certain printing characteristics such as print speed and contrast settings can be automatically modified based on certain types of distortions detected by the image processing system 110. In some other cases, one or more distortions detected by the image processing system 110 can be remedied manually by a human operator who can perform actions such as adjusting a paper feed or rectifying a paper jam in the printer. In some other cases, a human operator can use a man-machine interface 120, which can be a graphical user interface (GUI), to manually rectify or address one or more distortions.
Attention is next drawn to
In accordance with the disclosure, the image processing system 110 executes an image processing procedure upon an image of the distortion-free currency note 200 in order to generate one or more reference templates. In this exemplary embodiment, the reference template is a triangular template 205 having vertices at three spatial locations on the distortion-free currency note 200. The three spatial locations, which can be specified by various entities such as a manufacturer, a designer, or a vendor, can correspond to three identifiable features in either the distortion-free currency note 200 itself or in an image of the distortion-free currency note 200.
In a first exemplary implementation, one or more of the three identifiable features can be a generic feature such as a corner of the currency note 200, while in a second exemplary implementation, one or more of the three identifiable features can be a distinctive feature such as an alphabet, a numeral, or an alphanumeric character of the currency note 200. In a third exemplary implementation, at least two of the three identifiable features constitute distinctive features that can be used by the image processing system 110 to accurately identify another currency note having the same two or more distinctive features as the distortion-free currency note 200. Accordingly, when the distortion-free currency note 200 is a five-dollar currency note, certain distinctive features in an image of the distortion-free five-dollar currency note can be used by the image processing system 110 to accurately identify other five-dollar currency notes that may or may not contain distortions.
In the exemplary embodiment shown in
In other embodiment, other features can be selected for purposes of defining a triangular template. These features can be selected on the basis of various factors such as on the basis of some unique characteristics that render the three vertices readily recognizable by the image processing system 110. For example, when the distortion-free currency note 200 is imaged upon a black background, the distinctly recognizable intensity transition from black to white (along both the x-axis and the y-axis) renders each corner of the distortion-free currency note 200 readily detectable by the image processing system 110. Similarly, a grayscale transition between a white region of the numeral “5” and the surrounding gray region renders each of the second and third features readily detectable by the image processing system 110.
Location information corresponding to the various features in the distortion-free currency note 200 can be specified using spatial coordinates as well as pixel coordinates. The spatial coordinates correspond to physical size parameters of the distortion-free currency note 200 while the pixel coordinates correspond to image size parameters that can be based on pixel count in an image of the distortion-free currency note 200.
In one example implementation in accordance with the disclosure, the top-left corner of the distortion-free currency note 200 can be designated by a first set of two-dimensional (2D) spatial coordinates (0, 0) that can be considered a zero-reference point in 2D x-y coordinate space; the top-right corner of the distortion-free currency note 200 can be designated by a second set of 2D spatial coordinates (1000, 0); the bottom-left corner of the distortion-free currency note 200 can be designated by a third set of 2D spatial coordinates as (0, 1000); and the bottom-right corner of the distortion-free currency note 200 can be designated by a fourth set of 2D spatial coordinates (1000, 1000).
Using this spatial coordinates system, the first vertex 210 of the exemplary triangular template 205 can be designated as corresponding to 2D spatial coordinates (0, 0); the second vertex 215 of the triangular template 205 can be designated as corresponding to 2D spatial coordinates (90, 70); and the third vertex 220 of the triangular template 205 can be designated as corresponding to 2D spatial coordinates (90, 700).
Each spatial coordinate of the distortion-free currency note 200 has an equivalent pixel coordinate in the image of the distortion-free currency note 200. For example, an image of the distortion-free currency note 200 as generated by the image acquisition system 105 (a scanner, for example) can have a first set of pixel coordinates (200, 40) corresponding to the first vertex 210 of the triangular template 205; a second set of pixel coordinates (320, 70) corresponding to the second vertex 215 of the triangular template 205; and a third set of pixel coordinates (330, 250) corresponding to the third vertex 220 of the triangular template 205.
When characterized by using the first, second, and third set of spatial coordinates, the triangular template 205 can be considered a triangular spatial template. On the other hand, when characterized by using the first, second, and third set of pixel coordinates, the triangular template 205 can be considered a triangular pixel template. A mapping of the triangular spatial template to the triangular pixel template constitutes a distance authentication template in accordance with the disclosure. The mapping includes a mapping of the spatial coordinates of the first vertex 210 (0, 0) to the pixel coordinates (200, 40); a mapping of the spatial coordinates of the second vertex 215 (90, 70) to the pixel coordinates (320, 70); and a mapping of the spatial coordinates of the third vertex 215 (90, 700) to the pixel coordinates (330, 250). Any location inside the triangular template 205 can be distinctly defined (in spatial coordinates format or in pixel coordinates format) by using the distance authentication template generated by mapping the spatial coordinates of the three vertices to the pixel coordinates of the three vertices.
The generation of the distance authentication template can be considered as the generation of a piece-wise linear grid that provides an approximate representation of a non-linear grid, the non-linear grid useable for detecting one or more non-linear distortions in one or more other objects similar to the object 125 (for example, another currency note having the same two or more distinctive features as the distortion-free currency note 200).
It must be understood that three-dimensional (3D) spatial coordinates and 3D pixel coordinates can be used when the object 125 is a 3D object rather than a 2D object such as the distortion-free currency note 200. The distance authentication template will correspondingly be a 3D distance authentication template. In one example application, the device 100 can be a 3D printer that generates a replica of an original 3D object. Accordingly, the original 3D object can be used to generate a distance authentication template based on a combination of spatial data obtained from the original 3D object and pixel data obtained from a distortion-free replica of the 3D object (that can be generated by the 3D printer).
Distortions in images of 3D objects can be characterized by various orientations with respect to not just the x-axis and the y-axis, but with respect to the z-axis as well. Such distortions can be broadly categorized as pitch-related distortions, roll-related distortions, and/or yaw-related distortions.
Device 100 can process an image of the currency note 300 in order to determine the locations of each of the top-left corner of the currency note 300, the top portion of a numeral “5” that is located near the top-left corner of the currency note 300, and the top portion of a numeral “5” that is located near the bottom-left corner of the currency note 300. In this exemplary embodiment, due to the distortions present in the currency note 300, the top portion of the numeral “5” near the top-left corner of the currency note 300 is located at pixel coordinates (150, 20); and the top portion of a numeral “5” near the bottom-left corner of the currency note 300 is located at pixel coordinates (1400, 1250).
A triangular pattern 305 that is shown in dashed line format indicates the pixel positions of the three vertices corresponding to top-left corner of the currency note 300, the top portion of the numeral “5” located near the top-left corner of the currency note 300, and the top portion of the numeral “5” located near the bottom-left corner of the currency note 300. The triangular pattern 305 is offset with respect to the triangular template 205 generated by using the distortion-free currency note 200, because the triangular template 205 has a first vertex at pixel coordinates (200, 40); a second vertex at pixel coordinates (320, 70); and a third vertex at pixel coordinates (330, 250).
The offset values between the triangular pattern 305 associated with the currency note 300 having distortions and the triangular template 205 derived from the distortion-free currency note 200 is indicative of certain characteristics of the distortions that are present in the currency note 300 and can be used to detect various image elements associated with various features in the currency note 300. More particularly, a difference in pixel separation distance between the first vertex 210 and the second vertex 215 in the triangular template 205 can be compared to a pixel separation distance between the first vertex 310 and the second vertex 315 in the triangular pattern 305 to identify a first characteristic of the distortions present in the currency note 300. A difference in pixel separation distance between the second vertex 215 and the third vertex 220 in the triangular template 205 can be compared to a pixel separation distance between the second vertex 315 and the third vertex 320 in the triangular pattern 305 to identify a second characteristic of the distortions present in the currency note 300. A difference in pixel separation distance between the third vertex 220 and the first vertex 210 in the triangular template 205 can be compared to a pixel separation distance between the third vertex 320 and the first vertex 310 in the triangular pattern 305 to identify a third characteristic of the distortions present in the currency note 300.
The first, second, and third characteristics of the distortions present in the currency note 300 can then be taken into consideration by the image processing system 110 for locating and identifying other features such as for example, an alphabet “F” in the word “FIVE” on the currency note 300. One example procedure for identifying these other features this will now be described using
Attention is drawn to template triangle 410, which includes a first vertex that coincides with a right corner of President Lincoln's right eye, a second vertex that coincides with a top-left corner of a logo, and a third vertex that coincides with a top-right corner of the distortion-free currency note 200. The three vertices can be used to locate and identify various distinctive features in the distortion-free currency note 200 such as President Lincoln's left eye that is located inside the template triangle 410.
However, non-linear distortions and/or linear distortions that may be present in a currency note can lead to a dislocation of one or more of such distinctive features. This aspect will now be described using
Information inside a barcode image is typically represented in the form of a set of vertical lines having various line thickness and line spacing. Consequently, in many cases, a horizontal scan of a barcode image can provide adequate information for reading information contained in the barcode image. This characteristic feature of a barcode image can be exploited in accordance with an alternative embodiment in accordance with the disclosure to define a dual-node distance authentication template that provides a mapping between a two-node horizontal spatial template and a two-node horizontal pixel template in accordance with the disclosure.
The dual-node distance authentication template can be defined for example by using a pair of horizontally-located corners of the barcode image 600 (such as a top-left corner and a top-right corner of the barcode image 600, or a bottom-left corner and a bottom-right corner of the barcode image 600). Such a dual-node distance authentication template can be used by the image processing system 110 in at least some applications in lieu of the distance authentication template defined on the basis of triangles.
In some applications in accordance with the disclosure, a dual-node distance authentication template such as the one described above with respect to
The memory 830 can be used to store program instructions that are loadable and executable by the processor 805 as well as to store data generated during the execution of these programs. Depending on the configuration and type of the device 100, the memory 830 can be volatile (such as random access memory (RAM)) and/or non-volatile (such as read-only memory (ROM), flash memory, etc.). In some embodiments, the memory devices can also include additional removable storage 835 and/or non-removable storage 840 including, but not limited to, magnetic storage, optical disks, and/or tape storage. The disk drives and their associated computer-readable media can provide non-volatile storage of computer-readable instructions, data structures, program modules, and other data. In some implementations, the memory 830 can include multiple types of memory, such as static random access memory (SRAM), dynamic random access memory (DRAM), or ROM.
The memory 830, the removable storage, and the non-removable storage are all examples of non-transient computer-readable storage media. Such non-transient computer-readable storage media can be implemented in a wide variety of ways that are directed at storage of items such as computer-readable instructions, data structures, and/or program modules. Additional types of non-transient computer storage media that can be present include, but are not limited to, programmable random access memory (PRAM), SRAM, DRAM, ROM, electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM), digital versatile discs (DVD) or other optical storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by the processor 805. Combinations of any of the above should also be included within the scope of non-transient computer-readable storage media.
Turning to the contents of the memory 830, the memory 830 can include, but is not limited to, an operating system (OS) 831 and one or more application programs or services for implementing the features and aspects disclosed herein. Such application programs or services can include an image acquisition program 832, an image processing program 833, and data storage 834. The image acquisition program 832 can be used to execute some or all of the functions disclosed herein with respect to the image acquisition system 105. The image processing program 833 can be used to execute some or all of the functions disclosed herein with respect to the image processing system 110. The data storage 834 can be used to store image data as well as other data such as one or more distance authentication templates.
The computing element 800 can also include elements such as communications connections 810 and a graphical user interface (GUI) input/output 815. The communications connections 810 can be used to execute some or all of the functions disclosed herein with respect to the communications interface 115. The GUI input/output 815 can be used to execute some or all of the functions disclosed herein with respect to the man-machine interface 120.
To supplement the present disclosure, this application incorporates entirely by reference the following commonly assigned patents, patent application publications, and patent applications:
In the specification and/or figures, exemplary embodiments of the invention have been disclosed. The present disclosure is not limited to such exemplary embodiments. For example, it must be understood that the systems and methods disclosed herein can be used in many cases to not only detect non-linear distortions but linear distortions as well. It must also be understood that in some implementations, a distance authentication template having a shape other than a triangle can be used. The use of the term “and/or” includes any and all combinations of one or more of the associated listed items. The figures are schematic representations and so are not necessarily drawn to scale. Unless otherwise noted, specific terms have been used in a generic and descriptive sense and not for purposes of limitation.
Number | Name | Date | Kind |
---|---|---|---|
6438261 | Moshe | Aug 2002 | B1 |
6832725 | Gardiner et al. | Dec 2004 | B2 |
7128266 | Zhu | Oct 2006 | B2 |
7159783 | Walczyk et al. | Jan 2007 | B2 |
7413127 | Ehrhart et al. | Aug 2008 | B2 |
7726575 | Wang et al. | Jun 2010 | B2 |
8294969 | Plesko | Oct 2012 | B2 |
8317105 | Kotlarsky et al. | Nov 2012 | B2 |
8322622 | Liu | Dec 2012 | B2 |
8366005 | Kotlarsky et al. | Feb 2013 | B2 |
8371507 | Haggerty et al. | Feb 2013 | B2 |
8376233 | Van Horn et al. | Feb 2013 | B2 |
8381979 | Franz | Feb 2013 | B2 |
8390909 | Plesko | Mar 2013 | B2 |
8408464 | Zhu et al. | Apr 2013 | B2 |
8408468 | Horn et al. | Apr 2013 | B2 |
8408469 | Good | Apr 2013 | B2 |
8424768 | Rueblinger et al. | Apr 2013 | B2 |
8448863 | Xian et al. | May 2013 | B2 |
8457013 | Essinger et al. | Jun 2013 | B2 |
8459557 | Havens et al. | Jun 2013 | B2 |
8469272 | Kearney | Jun 2013 | B2 |
8474712 | Kearney et al. | Jul 2013 | B2 |
8479992 | Kotlarsky et al. | Jul 2013 | B2 |
8490877 | Kearney | Jul 2013 | B2 |
8517271 | Kotlarsky et al. | Aug 2013 | B2 |
8523076 | Good | Sep 2013 | B2 |
8528818 | Ehrhart et al. | Sep 2013 | B2 |
8531456 | Fischer et al. | Sep 2013 | B2 |
8544737 | Gomez et al. | Oct 2013 | B2 |
8548420 | Grunow et al. | Oct 2013 | B2 |
8550335 | Samek et al. | Oct 2013 | B2 |
8550354 | Gannon et al. | Oct 2013 | B2 |
8550357 | Kearney | Oct 2013 | B2 |
8556174 | Kosecki et al. | Oct 2013 | B2 |
8556176 | Van Horn et al. | Oct 2013 | B2 |
8556177 | Hussey et al. | Oct 2013 | B2 |
8559767 | Barber et al. | Oct 2013 | B2 |
8561895 | Gomez et al. | Oct 2013 | B2 |
8561903 | Sauerwein | Oct 2013 | B2 |
8561905 | Edmonds et al. | Oct 2013 | B2 |
8565107 | Pease et al. | Oct 2013 | B2 |
8571307 | Li et al. | Oct 2013 | B2 |
8579200 | Samek et al. | Nov 2013 | B2 |
8583924 | Caballero et al. | Nov 2013 | B2 |
8584945 | Wang et al. | Nov 2013 | B2 |
8587595 | Wang | Nov 2013 | B2 |
8587697 | Hussey et al. | Nov 2013 | B2 |
8588869 | Sauerwein et al. | Nov 2013 | B2 |
8590789 | Nahill et al. | Nov 2013 | B2 |
8596539 | Havens et al. | Dec 2013 | B2 |
8596542 | Havens et al. | Dec 2013 | B2 |
8596543 | Havens et al. | Dec 2013 | B2 |
8599271 | Havens et al. | Dec 2013 | B2 |
8599957 | Peake et al. | Dec 2013 | B2 |
8600158 | Li et al. | Dec 2013 | B2 |
8600167 | Showering | Dec 2013 | B2 |
8602309 | Longacre et al. | Dec 2013 | B2 |
8608053 | Meier et al. | Dec 2013 | B2 |
8608071 | Liu et al. | Dec 2013 | B2 |
8611309 | Wang et al. | Dec 2013 | B2 |
8615487 | Gomez et al. | Dec 2013 | B2 |
8621123 | Caballero | Dec 2013 | B2 |
8622303 | Meier et al. | Jan 2014 | B2 |
8628013 | Ding | Jan 2014 | B2 |
8628015 | Wang et al. | Jan 2014 | B2 |
8628016 | Winegar | Jan 2014 | B2 |
8629926 | Wang | Jan 2014 | B2 |
8630491 | Longacre et al. | Jan 2014 | B2 |
8635309 | Berthiaume et al. | Jan 2014 | B2 |
8636200 | Kearney | Jan 2014 | B2 |
8636212 | Nahill et al. | Jan 2014 | B2 |
8636215 | Ding et al. | Jan 2014 | B2 |
8636224 | Wang | Jan 2014 | B2 |
8638806 | Wang et al. | Jan 2014 | B2 |
8640958 | Lu et al. | Feb 2014 | B2 |
8640960 | Wang et al. | Feb 2014 | B2 |
8643717 | Li et al. | Feb 2014 | B2 |
8646692 | Meier et al. | Feb 2014 | B2 |
8646694 | Wang et al. | Feb 2014 | B2 |
8657200 | Ren et al. | Feb 2014 | B2 |
8659397 | Vargo et al. | Feb 2014 | B2 |
8668149 | Good | Mar 2014 | B2 |
8678285 | Kearney | Mar 2014 | B2 |
8678286 | Smith et al. | Mar 2014 | B2 |
8682077 | Longacre | Mar 2014 | B1 |
D702237 | Oberpriller et al. | Apr 2014 | S |
8687282 | Feng et al. | Apr 2014 | B2 |
8692927 | Pease et al. | Apr 2014 | B2 |
8695880 | Bremer et al. | Apr 2014 | B2 |
8698949 | Grunow et al. | Apr 2014 | B2 |
8702000 | Barber et al. | Apr 2014 | B2 |
8717494 | Gannon | May 2014 | B2 |
8720783 | Biss et al. | May 2014 | B2 |
8723804 | Fletcher et al. | May 2014 | B2 |
8723904 | Marty et al. | May 2014 | B2 |
8727223 | Wang | May 2014 | B2 |
8740082 | Wilz | Jun 2014 | B2 |
8740085 | Furlong et al. | Jun 2014 | B2 |
8746563 | Hennick et al. | Jun 2014 | B2 |
8750445 | Peake et al. | Jun 2014 | B2 |
8752766 | Xian et al. | Jun 2014 | B2 |
8756059 | Braho et al. | Jun 2014 | B2 |
8757495 | Qu et al. | Jun 2014 | B2 |
8760563 | Koziol et al. | Jun 2014 | B2 |
8763909 | Reed et al. | Jul 2014 | B2 |
8777108 | Coyle | Jul 2014 | B2 |
8777109 | Oberpriller et al. | Jul 2014 | B2 |
8779898 | Havens et al. | Jul 2014 | B2 |
8781520 | Payne et al. | Jul 2014 | B2 |
8783573 | Havens et al. | Jul 2014 | B2 |
8789757 | Barten | Jul 2014 | B2 |
8789758 | Hawley et al. | Jul 2014 | B2 |
8789759 | Xian et al. | Jul 2014 | B2 |
8794520 | Wang et al. | Aug 2014 | B2 |
8794522 | Ehrhart | Aug 2014 | B2 |
8794525 | Amundsen et al. | Aug 2014 | B2 |
8794526 | Wang et al. | Aug 2014 | B2 |
8798367 | Ellis | Aug 2014 | B2 |
8807431 | Wang et al. | Aug 2014 | B2 |
8807432 | Van Horn et al. | Aug 2014 | B2 |
8818101 | Lim | Aug 2014 | B1 |
8820630 | Qu et al. | Sep 2014 | B2 |
8822848 | Meagher | Sep 2014 | B2 |
8824692 | Sheerin et al. | Sep 2014 | B2 |
8824696 | Braho | Sep 2014 | B2 |
8842849 | Wahl et al. | Sep 2014 | B2 |
8844822 | Kotlarsky et al. | Sep 2014 | B2 |
8844823 | Fritz et al. | Sep 2014 | B2 |
8849019 | Li et al. | Sep 2014 | B2 |
D716285 | Chaney et al. | Oct 2014 | S |
8851383 | Yeakley et al. | Oct 2014 | B2 |
8854633 | Laffargue | Oct 2014 | B2 |
8866963 | Grunow et al. | Oct 2014 | B2 |
8868421 | Braho et al. | Oct 2014 | B2 |
8868519 | Maloy et al. | Oct 2014 | B2 |
8868802 | Barten | Oct 2014 | B2 |
8868803 | Caballero | Oct 2014 | B2 |
8870074 | Gannon | Oct 2014 | B1 |
8879639 | Sauerwein | Nov 2014 | B2 |
8880426 | Smith | Nov 2014 | B2 |
8881983 | Havens et al. | Nov 2014 | B2 |
8881987 | Wang | Nov 2014 | B2 |
8903172 | Smith | Dec 2014 | B2 |
8908995 | Benos et al. | Dec 2014 | B2 |
8910870 | Li et al. | Dec 2014 | B2 |
8910875 | Ren et al. | Dec 2014 | B2 |
8914290 | Hendrickson et al. | Dec 2014 | B2 |
8914788 | Pettinelli et al. | Dec 2014 | B2 |
8915439 | Feng et al. | Dec 2014 | B2 |
8915444 | Havens et al. | Dec 2014 | B2 |
8916789 | Woodburn | Dec 2014 | B2 |
8918250 | Hollifield | Dec 2014 | B2 |
8918564 | Caballero | Dec 2014 | B2 |
8925818 | Kosecki et al. | Jan 2015 | B2 |
8939374 | Jovanovski et al. | Jan 2015 | B2 |
8942480 | Ellis | Jan 2015 | B2 |
8944313 | Williams et al. | Feb 2015 | B2 |
8944327 | Meier et al. | Feb 2015 | B2 |
8944332 | Harding et al. | Feb 2015 | B2 |
8950678 | Germaine et al. | Feb 2015 | B2 |
D723560 | Zhou et al. | Mar 2015 | S |
8967468 | Gomez et al. | Mar 2015 | B2 |
8971346 | Sevier | Mar 2015 | B2 |
8976030 | Cunningham et al. | Mar 2015 | B2 |
8976368 | Akel et al. | Mar 2015 | B2 |
8978981 | Guan | Mar 2015 | B2 |
8978983 | Bremer et al. | Mar 2015 | B2 |
8978984 | Hennick et al. | Mar 2015 | B2 |
8985456 | Zhu et al. | Mar 2015 | B2 |
8985457 | Soule et al. | Mar 2015 | B2 |
8985459 | Keamey et al. | Mar 2015 | B2 |
8985461 | Gelay et al. | Mar 2015 | B2 |
8988578 | Showering | Mar 2015 | B2 |
8988590 | Gillet et al. | Mar 2015 | B2 |
8991704 | Hopper et al. | Mar 2015 | B2 |
8996194 | Davis et al. | Mar 2015 | B2 |
8996384 | Funyak et al. | Mar 2015 | B2 |
8998091 | Edmonds et al. | Apr 2015 | B2 |
9002641 | Showering | Apr 2015 | B2 |
9007368 | Laffargue et al. | Apr 2015 | B2 |
9010641 | Qu et al. | Apr 2015 | B2 |
9015513 | Murawski et al. | Apr 2015 | B2 |
9016576 | Brady et al. | Apr 2015 | B2 |
D730357 | Fitch et al. | May 2015 | S |
9022288 | Nahill et al. | May 2015 | B2 |
9030964 | Essinger et al. | May 2015 | B2 |
9033240 | Smith et al. | May 2015 | B2 |
9033242 | Gillet et al. | May 2015 | B2 |
9036054 | Koziol et al. | May 2015 | B2 |
9037344 | Chamberlin | May 2015 | B2 |
9038911 | Xian et al. | May 2015 | B2 |
9038915 | Smith | May 2015 | B2 |
D730901 | Oberpriller et al. | Jun 2015 | S |
D730902 | Fitch et al. | Jun 2015 | S |
D733112 | Chaney et al. | Jun 2015 | S |
9047098 | Barten | Jun 2015 | B2 |
9047359 | Caballero et al. | Jun 2015 | B2 |
9047420 | Caballero | Jun 2015 | B2 |
9047525 | Barber | Jun 2015 | B2 |
9047531 | Showering et al. | Jun 2015 | B2 |
9049640 | Wang et al. | Jun 2015 | B2 |
9053055 | Caballero | Jun 2015 | B2 |
9053378 | Hou et al. | Jun 2015 | B1 |
9053380 | Xian et al. | Jun 2015 | B2 |
9057641 | Amundsen et al. | Jun 2015 | B2 |
9058526 | Powilleit | Jun 2015 | B2 |
9061527 | Tobin et al. | Jun 2015 | B2 |
9064165 | Havens et al. | Jun 2015 | B2 |
9064167 | Xian et al. | Jun 2015 | B2 |
9064168 | Todeschini et al. | Jun 2015 | B2 |
9064254 | Todeschini et al. | Jun 2015 | B2 |
9066032 | Wang | Jun 2015 | B2 |
9070032 | Corcoran | Jun 2015 | B2 |
D734339 | Zhou et al. | Jul 2015 | S |
D734751 | Oberpriller et al. | Jul 2015 | S |
9076459 | Braho et al. | Jul 2015 | B2 |
9079423 | Bouverie et al. | Jul 2015 | B2 |
9080856 | Laffargue | Jul 2015 | B2 |
9082023 | Feng et al. | Jul 2015 | B2 |
9084032 | Rautiola et al. | Jul 2015 | B2 |
9087250 | Coyle | Jul 2015 | B2 |
9092681 | Havens et al. | Jul 2015 | B2 |
9092682 | Wilz et al. | Jul 2015 | B2 |
9092683 | Koziol et al. | Jul 2015 | B2 |
9093141 | Liu | Jul 2015 | B2 |
9098763 | Lu et al. | Aug 2015 | B2 |
9104929 | Todeschini | Aug 2015 | B2 |
9104934 | Li et al. | Aug 2015 | B2 |
9107484 | Chaney | Aug 2015 | B2 |
9111159 | Liu et al. | Aug 2015 | B2 |
9111166 | Cunningham | Aug 2015 | B2 |
9135483 | Liu et al. | Sep 2015 | B2 |
9137009 | Gardiner | Sep 2015 | B1 |
9141839 | Xian et al. | Sep 2015 | B2 |
9147096 | Wang | Sep 2015 | B2 |
9148474 | Skvoretz | Sep 2015 | B2 |
9158000 | Sauerwein | Oct 2015 | B2 |
9158340 | Reed et al. | Oct 2015 | B2 |
9158953 | Gillet et al. | Oct 2015 | B2 |
9159059 | Daddabbo et al. | Oct 2015 | B2 |
9165174 | Huck | Oct 2015 | B2 |
9165406 | Gray | Oct 2015 | B1 |
9171543 | Emerick et al. | Oct 2015 | B2 |
9183425 | Wang | Nov 2015 | B2 |
9189669 | Zhu et al. | Nov 2015 | B2 |
9195844 | Todeschini et al. | Nov 2015 | B2 |
9202458 | Braho et al. | Dec 2015 | B2 |
9208366 | Liu | Dec 2015 | B2 |
9208367 | Wang | Dec 2015 | B2 |
9219836 | Bouverie et al. | Dec 2015 | B2 |
9224022 | Ackley et al. | Dec 2015 | B2 |
9224024 | Bremer et al. | Dec 2015 | B2 |
9224027 | Van Horn et al. | Dec 2015 | B2 |
D747321 | London et al. | Jan 2016 | S |
9230140 | Ackley | Jan 2016 | B1 |
9235553 | Fitch et al. | Jan 2016 | B2 |
9239950 | Fletcher | Jan 2016 | B2 |
9245492 | Ackley et al. | Jan 2016 | B2 |
9443123 | Hejl | Jan 2016 | B2 |
9248640 | Heng | Feb 2016 | B2 |
9250652 | London et al. | Feb 2016 | B2 |
9250712 | Todeschini | Feb 2016 | B1 |
9251411 | Todeschini | Feb 2016 | B2 |
9258033 | Showering | Feb 2016 | B2 |
9261398 | Amundsen et al. | Feb 2016 | B2 |
9262633 | Todeschini et al. | Feb 2016 | B1 |
9262660 | Lu et al. | Feb 2016 | B2 |
9262662 | Chen et al. | Feb 2016 | B2 |
9262664 | Soule et al. | Feb 2016 | B2 |
9269036 | Bremer | Feb 2016 | B2 |
9270782 | Hala et al. | Feb 2016 | B2 |
9274806 | Barten | Mar 2016 | B2 |
9274812 | Doren et al. | Mar 2016 | B2 |
9275388 | Havens et al. | Mar 2016 | B2 |
9277668 | Feng et al. | Mar 2016 | B2 |
9280693 | Feng et al. | Mar 2016 | B2 |
9282501 | Wang et al. | Mar 2016 | B2 |
9286496 | Smith | Mar 2016 | B2 |
9292969 | Laffargue et al. | Mar 2016 | B2 |
9297900 | Jiang | Mar 2016 | B2 |
9298667 | Caballero | Mar 2016 | B2 |
9298964 | Li et al. | Mar 2016 | B2 |
9301427 | Feng et al. | Mar 2016 | B2 |
9304376 | Anderson | Apr 2016 | B2 |
9310609 | Rueblinger et al. | Apr 2016 | B2 |
9313377 | Todeschini et al. | Apr 2016 | B2 |
9317037 | Byford et al. | Apr 2016 | B2 |
9317952 | Koniaris et al. | Apr 2016 | B2 |
9319548 | Showering et al. | Apr 2016 | B2 |
D757009 | Oberpriller et al. | May 2016 | S |
9342723 | Liu et al. | May 2016 | B2 |
9342724 | McCloskey | May 2016 | B2 |
9342827 | Smith | May 2016 | B2 |
9355294 | Smith et al. | May 2016 | B2 |
9361882 | Ressler et al. | Jun 2016 | B2 |
9365381 | Colonel et al. | Jun 2016 | B2 |
9367722 | Xian et al. | Jun 2016 | B2 |
9373018 | Colavito et al. | Jun 2016 | B2 |
9375945 | Bowles | Jun 2016 | B1 |
9378403 | Wang et al. | Jun 2016 | B2 |
D760719 | Zhou et al. | Jul 2016 | S |
9360304 | Chang et al. | Jul 2016 | B2 |
9383848 | Daghigh | Jul 2016 | B2 |
9384374 | Bianconi | Jul 2016 | B2 |
9390596 | Todeschini | Jul 2016 | B1 |
9396375 | Qu et al. | Jul 2016 | B2 |
9398008 | Todeschini et al. | Jul 2016 | B2 |
D762604 | Fitch et al. | Aug 2016 | S |
D762647 | Fitch et al. | Aug 2016 | S |
9405011 | Showering | Aug 2016 | B2 |
9407840 | Wang | Aug 2016 | B2 |
9411386 | Sauerwein | Aug 2016 | B2 |
9412242 | Van Horn et al. | Aug 2016 | B2 |
9418252 | Nahill et al. | Aug 2016 | B2 |
9418269 | Havens et al. | Aug 2016 | B2 |
9418270 | Van Volkinburg et al. | Aug 2016 | B2 |
9423318 | Lui et al. | Aug 2016 | B2 |
D766244 | Zhou et al. | Sep 2016 | S |
9443222 | Singel et al. | Sep 2016 | B2 |
9448610 | Davis et al. | Sep 2016 | B2 |
9454689 | McCloskey et al. | Sep 2016 | B2 |
9464885 | Lloyd et al. | Oct 2016 | B2 |
9465967 | Xian et al. | Oct 2016 | B2 |
9478113 | Xie et al. | Oct 2016 | B2 |
9478983 | Kather et al. | Oct 2016 | B2 |
D771631 | Fitch et al. | Nov 2016 | S |
9481186 | Bouverie et al. | Nov 2016 | B2 |
9488986 | Solanki | Nov 2016 | B1 |
9489782 | Payne et al. | Nov 2016 | B2 |
9490540 | Davies et al. | Nov 2016 | B1 |
9491729 | Rautiola et al. | Nov 2016 | B2 |
9497092 | Gomez et al. | Nov 2016 | B2 |
9507974 | Todeschini | Nov 2016 | B1 |
9519814 | Cudzilo | Dec 2016 | B2 |
9521331 | Bessettes et al. | Dec 2016 | B2 |
9530038 | Xian et al. | Dec 2016 | B2 |
D777166 | Bidwell et al. | Jan 2017 | S |
9558386 | Yeakley | Jan 2017 | B2 |
9572901 | Todeschini | Feb 2017 | B2 |
9582696 | Barber et al. | Feb 2017 | B2 |
9606581 | Howe et al. | Mar 2017 | B1 |
D783601 | Schulte et al. | Apr 2017 | S |
9616749 | Chamberlin | Apr 2017 | B2 |
9618993 | Murawski et al. | Apr 2017 | B2 |
D785617 | Bidwell et al. | May 2017 | S |
D785636 | Oberpriller et al. | May 2017 | S |
9646189 | Lu et al. | May 2017 | B2 |
9646191 | Unemyr et al. | May 2017 | B2 |
9652648 | Ackley et al. | May 2017 | B2 |
9652653 | Todeschini et al. | May 2017 | B2 |
9656487 | Ho et al. | May 2017 | B2 |
9659198 | Giordano et al. | May 2017 | B2 |
D790505 | Vargo et al. | Jun 2017 | S |
D790546 | Zhou et al. | Jun 2017 | S |
D790553 | Fitch et al. | Jun 2017 | S |
9680282 | Hanenburg | Jun 2017 | B2 |
9697401 | Feng et al. | Jul 2017 | B2 |
9701140 | Alaganchetty et al. | Jul 2017 | B1 |
9715614 | Todeschini et al. | Jul 2017 | B2 |
9734493 | Gomez et al. | Aug 2017 | B2 |
10019334 | Caballero et al. | Jul 2018 | B2 |
10021043 | Sevier | Jul 2018 | B2 |
10327158 | Wang et al. | Jun 2019 | B2 |
10339528 | Murphy | Jul 2019 | B2 |
10410029 | Powilleit | Sep 2019 | B2 |
10504003 | Flowers | Dec 2019 | B1 |
20060164526 | Suzuki | Jul 2006 | A1 |
20070063048 | Havens et al. | Mar 2007 | A1 |
20080118143 | Gordon | May 2008 | A1 |
20090095047 | Patel et al. | Apr 2009 | A1 |
20090134221 | Zhu et al. | May 2009 | A1 |
20100165116 | Hsieh | Jul 2010 | A1 |
20100177076 | Essinger et al. | Jul 2010 | A1 |
20100177080 | Essinger et al. | Jul 2010 | A1 |
20100177707 | Essinger et al. | Jul 2010 | A1 |
20100177749 | Essinger et al. | Jul 2010 | A1 |
20110169999 | Grunow et al. | Jul 2011 | A1 |
20110202554 | Powilleit et al. | Aug 2011 | A1 |
20120111946 | Golant | May 2012 | A1 |
20120163720 | Saito | Jun 2012 | A1 |
20120168512 | Kotlarsky et al. | Jul 2012 | A1 |
20120193423 | Samek | Aug 2012 | A1 |
20120195478 | Hsu et al. | Aug 2012 | A1 |
20120203647 | Smith | Aug 2012 | A1 |
20120223141 | Good et al. | Sep 2012 | A1 |
20130043312 | Van Horn | Feb 2013 | A1 |
20130075168 | Amundsen et al. | Mar 2013 | A1 |
20130175341 | Kearney et al. | Jul 2013 | A1 |
20130175343 | Good | Jul 2013 | A1 |
20130257744 | Daghigh et al. | Oct 2013 | A1 |
20130257759 | Daghigh | Oct 2013 | A1 |
20130270346 | Xian et al. | Oct 2013 | A1 |
20130287258 | Kearney | Oct 2013 | A1 |
20130292475 | Kotlarsky et al. | Nov 2013 | A1 |
20130292477 | Hennick et al. | Nov 2013 | A1 |
20130293539 | Hunt et al. | Nov 2013 | A1 |
20130293540 | Laffargue et al. | Nov 2013 | A1 |
20130306728 | Thuries et al. | Nov 2013 | A1 |
20130306731 | Pedraro | Nov 2013 | A1 |
20130307964 | Bremer et al. | Nov 2013 | A1 |
20130308625 | Park et al. | Nov 2013 | A1 |
20130313324 | Koziol et al. | Nov 2013 | A1 |
20130332524 | Fiala et al. | Dec 2013 | A1 |
20130342717 | Havens et al. | Dec 2013 | A1 |
20140001267 | Giordano et al. | Jan 2014 | A1 |
20140002828 | Laffargue et al. | Jan 2014 | A1 |
20140008439 | Wang | Jan 2014 | A1 |
20140025584 | Liu et al. | Jan 2014 | A1 |
20140100813 | Showering | Jan 2014 | A1 |
20140034734 | Sauerwein | Feb 2014 | A1 |
20140036848 | Pease et al. | Feb 2014 | A1 |
20140039693 | Havens et al. | Feb 2014 | A1 |
20140049120 | Kohtz et al. | Feb 2014 | A1 |
20140049635 | Laffargue et al. | Feb 2014 | A1 |
20140061306 | Wu et al. | Mar 2014 | A1 |
20140063289 | Hussey et al. | Mar 2014 | A1 |
20140066136 | Sauerwein et al. | Mar 2014 | A1 |
20140067692 | Ye et al. | Mar 2014 | A1 |
20140070005 | Nahill et al. | Mar 2014 | A1 |
20140071840 | Venancio | Mar 2014 | A1 |
20140074746 | Wang | Mar 2014 | A1 |
20140076974 | Havens et al. | Mar 2014 | A1 |
20140078341 | Havens et al. | Mar 2014 | A1 |
20140078342 | Li et al. | Mar 2014 | A1 |
20140078345 | Showering | Mar 2014 | A1 |
20140098792 | Wang et al. | Apr 2014 | A1 |
20140100774 | Showering | Apr 2014 | A1 |
20140103115 | Meier et al. | Apr 2014 | A1 |
20140104413 | McCloskey et al. | Apr 2014 | A1 |
20140104414 | McCloskey et al. | Apr 2014 | A1 |
20140104416 | Giordano et al. | Apr 2014 | A1 |
20140106725 | Sauerwein | Apr 2014 | A1 |
20140108010 | Maltseff et al. | Apr 2014 | A1 |
20140108402 | Gomez et al. | Apr 2014 | A1 |
20140108682 | Caballero | Apr 2014 | A1 |
20140110485 | Toa et al. | Apr 2014 | A1 |
20140114530 | Fitch et al. | Apr 2014 | A1 |
20140124577 | Wang et al. | May 2014 | A1 |
20140124579 | Ding | May 2014 | A1 |
20140125842 | Winegar | May 2014 | A1 |
20140125853 | Wang | May 2014 | A1 |
20140125999 | Longacre et al. | May 2014 | A1 |
20140129378 | Richardson | May 2014 | A1 |
20140131438 | Kearney | May 2014 | A1 |
20140131441 | Nahill et al. | May 2014 | A1 |
20140131443 | Smith | May 2014 | A1 |
20140131444 | Wang | May 2014 | A1 |
20140131445 | Ding et al. | May 2014 | A1 |
20140133379 | Wang et al. | May 2014 | A1 |
20140136208 | Maltseff et al. | May 2014 | A1 |
20140140585 | Wang | May 2014 | A1 |
20140151453 | Meier et al. | Jun 2014 | A1 |
20140152882 | Samek et al. | Jun 2014 | A1 |
20140158770 | Sevier et al. | Jun 2014 | A1 |
20140159869 | Zumsteg et al. | Jun 2014 | A1 |
20140166755 | Liu et al. | Jun 2014 | A1 |
20140166757 | Smith | Jun 2014 | A1 |
20140166759 | Liu et al. | Jun 2014 | A1 |
20140168787 | Wang et al. | Jun 2014 | A1 |
20140175165 | Havens et al. | Jun 2014 | A1 |
20140175172 | Jovanovski et al. | Jun 2014 | A1 |
20140191913 | Ge et al. | Jul 2014 | A1 |
20140197239 | Havens et al. | Jul 2014 | A1 |
20140197304 | Feng et al. | Jul 2014 | A1 |
20140204268 | Grunow et al. | Jul 2014 | A1 |
20140214631 | Hansen | Jul 2014 | A1 |
20140217166 | Berthiaume et al. | Aug 2014 | A1 |
20140217180 | Liu | Aug 2014 | A1 |
20140231500 | Ehrhart et al. | Aug 2014 | A1 |
20140247315 | Marty et al. | Sep 2014 | A1 |
20140263493 | Amurgis et al. | Sep 2014 | A1 |
20140263645 | Smith et al. | Sep 2014 | A1 |
20140270196 | Braho et al. | Sep 2014 | A1 |
20140270229 | Braho | Sep 2014 | A1 |
20140278387 | DiGregorio | Sep 2014 | A1 |
20140282210 | Bianconi | Sep 2014 | A1 |
20140283282 | Dye et al. | Sep 2014 | A1 |
20140288933 | Braho et al. | Sep 2014 | A1 |
20140297058 | Barker et al. | Oct 2014 | A1 |
20140299665 | Barber et al. | Oct 2014 | A1 |
20140312121 | Lu et al. | Oct 2014 | A1 |
20140319221 | Oberpriller et al. | Oct 2014 | A1 |
20140326787 | Barten | Nov 2014 | A1 |
20140332590 | Wang et al. | Nov 2014 | A1 |
20140351317 | Smith et al. | Nov 2014 | A1 |
20140353373 | Van et al. | Dec 2014 | A1 |
20140361073 | Qu et al. | Dec 2014 | A1 |
20140362184 | Jovanovski et al. | Dec 2014 | A1 |
20140363015 | Braho | Dec 2014 | A1 |
20140369511 | Sheerin et al. | Dec 2014 | A1 |
20140374483 | Lu | Dec 2014 | A1 |
20140374485 | Xian et al. | Dec 2014 | A1 |
20150001301 | Ouyang | Jan 2015 | A1 |
20150009338 | Laffargue et al. | Jan 2015 | A1 |
20150014416 | Kotlarsky et al. | Jan 2015 | A1 |
20150021397 | Rueblinger et al. | Jan 2015 | A1 |
20150028102 | Ren et al. | Jan 2015 | A1 |
20150028104 | Ma et al. | Jan 2015 | A1 |
20150029002 | Yeakley et al. | Jan 2015 | A1 |
20150032709 | Maloy et al. | Jan 2015 | A1 |
20150039309 | Braho et al. | Feb 2015 | A1 |
20150040378 | Saber et al. | Feb 2015 | A1 |
20150048168 | Fritz et al. | Feb 2015 | A1 |
20150049347 | Laffargue et al. | Feb 2015 | A1 |
20150051992 | Smith | Feb 2015 | A1 |
20150053766 | Havens et al. | Feb 2015 | A1 |
20150053769 | Thuries et al. | Feb 2015 | A1 |
20150062366 | Liu et al. | Mar 2015 | A1 |
20150063215 | Wang | Mar 2015 | A1 |
20150069130 | Gannon | Mar 2015 | A1 |
20150083800 | Li et al. | Mar 2015 | A1 |
20150088522 | Hendrickson et al. | Mar 2015 | A1 |
20150096872 | Woodburn | Apr 2015 | A1 |
20150099557 | Pettinelli et al. | Apr 2015 | A1 |
20150100196 | Hollifield | Apr 2015 | A1 |
20150115035 | Meier et al. | Apr 2015 | A1 |
20150127791 | Kosecki et al. | May 2015 | A1 |
20150128116 | Chen et al. | May 2015 | A1 |
20150129659 | Feng et al. | May 2015 | A1 |
20150133047 | Smith et al. | May 2015 | A1 |
20150134470 | Hejl et al. | May 2015 | A1 |
20150136851 | Harding et al. | May 2015 | A1 |
20150142492 | Kumar | May 2015 | A1 |
20150144692 | Hejl | May 2015 | A1 |
20150144698 | Teng et al. | May 2015 | A1 |
20150149946 | Benos et al. | May 2015 | A1 |
20150161429 | Xian | Jun 2015 | A1 |
20150169925 | Chen et al. | Jun 2015 | A1 |
20150169929 | Williams et al. | Jun 2015 | A1 |
20150178523 | Gelay et al. | Jun 2015 | A1 |
20150178534 | Jovanovski et al. | Jun 2015 | A1 |
20150178535 | Bremer et al. | Jun 2015 | A1 |
20150178536 | Hennick et al. | Jun 2015 | A1 |
20150178537 | El et al. | Jun 2015 | A1 |
20150181093 | Zhu et al. | Jun 2015 | A1 |
20150181109 | Gillet et al. | Jun 2015 | A1 |
20150186703 | Chen et al. | Jul 2015 | A1 |
20150193644 | Kearney et al. | Jul 2015 | A1 |
20150199957 | Funyak et al. | Jul 2015 | A1 |
20150210199 | Payne | Jul 2015 | A1 |
20150220753 | Zhu et al. | Aug 2015 | A1 |
20150254485 | Feng et al. | Sep 2015 | A1 |
20150310243 | Ackley | Oct 2015 | A1 |
20150310389 | Crimm et al. | Oct 2015 | A1 |
20150327012 | Bian et al. | Nov 2015 | A1 |
20160014251 | Hejl | Jan 2016 | A1 |
20160040982 | Li et al. | Feb 2016 | A1 |
20160042241 | Todeschini | Feb 2016 | A1 |
20160057230 | Todeschini et al. | Feb 2016 | A1 |
20160062473 | Bouchat et al. | Mar 2016 | A1 |
20160092805 | Geisler et al. | Mar 2016 | A1 |
20160093058 | Moteki | Mar 2016 | A1 |
20160101936 | Chamberlin | Apr 2016 | A1 |
20160102975 | McCloskey et al. | Apr 2016 | A1 |
20160104019 | Todeschini et al. | Apr 2016 | A1 |
20160104274 | Jovanovski et al. | Apr 2016 | A1 |
20160109219 | Ackley et al. | Apr 2016 | A1 |
20160109220 | Laffargue | Apr 2016 | A1 |
20160109224 | Thuries et al. | Apr 2016 | A1 |
20160112631 | Ackley et al. | Apr 2016 | A1 |
20160112643 | Laffargue et al. | Apr 2016 | A1 |
20160117627 | Raj et al. | Apr 2016 | A1 |
20160124516 | Schoon et al. | May 2016 | A1 |
20160125217 | Todeschini | May 2016 | A1 |
20160125342 | Miller et al. | May 2016 | A1 |
20160133253 | Braho et al. | May 2016 | A1 |
20160170000 | Liu | Jun 2016 | A1 |
20160171597 | Todeschini | Jun 2016 | A1 |
20160171666 | McCloskey | Jun 2016 | A1 |
20160171720 | Todeschini | Jun 2016 | A1 |
20160171775 | Todeschini et al. | Jun 2016 | A1 |
20160171777 | Todeschini et al. | Jun 2016 | A1 |
20160174674 | Oberpriller et al. | Jun 2016 | A1 |
20160178479 | Goldsmith | Jun 2016 | A1 |
20160178685 | Young et al. | Jun 2016 | A1 |
20160178707 | Young et al. | Jun 2016 | A1 |
20160179132 | Harr et al. | Jun 2016 | A1 |
20160179143 | Bidwell et al. | Jun 2016 | A1 |
20160179368 | Roeder | Jun 2016 | A1 |
20160179378 | Kent et al. | Jun 2016 | A1 |
20160180130 | Bremer | Jun 2016 | A1 |
20160180133 | Oberpriller et al. | Jun 2016 | A1 |
20160180136 | Meier et al. | Jun 2016 | A1 |
20160180594 | Todeschini | Jun 2016 | A1 |
20160180663 | McMahan et al. | Jun 2016 | A1 |
20160180678 | Ackley et al. | Jun 2016 | A1 |
20160180713 | Bemhardt et al. | Jun 2016 | A1 |
20160185136 | Ng et al. | Jun 2016 | A1 |
20160185291 | Chamberlin | Jun 2016 | A1 |
20160186926 | Oberpriller et al. | Jun 2016 | A1 |
20160188861 | Todeschini | Jun 2016 | A1 |
20160188939 | Sailors et al. | Jun 2016 | A1 |
20160188940 | Lu et al. | Jun 2016 | A1 |
20160188941 | Todeschini et al. | Jun 2016 | A1 |
20160188942 | Good et al. | Jun 2016 | A1 |
20160188943 | Linwood | Jun 2016 | A1 |
20160188944 | Wilz et al. | Jun 2016 | A1 |
20160189076 | Mellott et al. | Jun 2016 | A1 |
20160189087 | Morton et al. | Jun 2016 | A1 |
20160189088 | Pecorari et al. | Jun 2016 | A1 |
20160189092 | George et al. | Jun 2016 | A1 |
20160189284 | Mellott et al. | Jun 2016 | A1 |
20160189288 | Todeschini | Jun 2016 | A1 |
20160189366 | Chamberlin et al. | Jun 2016 | A1 |
20160189443 | Smith | Jun 2016 | A1 |
20160189447 | Valenzuela | Jun 2016 | A1 |
20160189489 | Au et al. | Jun 2016 | A1 |
20160191684 | DiPiazza et al. | Jun 2016 | A1 |
20160192051 | DiPiazza et al. | Jun 2016 | A1 |
20160125873 | Braho et al. | Jul 2016 | A1 |
20160202951 | Pike et al. | Jul 2016 | A1 |
20160202958 | Zabel et al. | Jul 2016 | A1 |
20160202959 | Doubleday et al. | Jul 2016 | A1 |
20160203021 | Pike et al. | Jul 2016 | A1 |
20160203429 | Mellott et al. | Jul 2016 | A1 |
20160203797 | Pike et al. | Jul 2016 | A1 |
20160203820 | Zabel et al. | Jul 2016 | A1 |
20160204623 | Haggert et al. | Jul 2016 | A1 |
20160204636 | Allen et al. | Jul 2016 | A1 |
20160204638 | Miraglia et al. | Jul 2016 | A1 |
20160316190 | McCloskey et al. | Jul 2016 | A1 |
20160227912 | Oberpriller et al. | Aug 2016 | A1 |
20160232891 | Pecorari | Aug 2016 | A1 |
20160292477 | Bidwell | Oct 2016 | A1 |
20160294779 | Yeakley et al. | Oct 2016 | A1 |
20160306769 | Kohtz et al. | Oct 2016 | A1 |
20160314276 | Sewell et al. | Oct 2016 | A1 |
20160314294 | Kubler et al. | Oct 2016 | A1 |
20160323310 | Todeschini et al. | Nov 2016 | A1 |
20160325677 | Fitch et al. | Nov 2016 | A1 |
20160327614 | Young et al. | Nov 2016 | A1 |
20160327930 | Charpentier et al. | Nov 2016 | A1 |
20160328762 | Pape | Nov 2016 | A1 |
20160330218 | Hussey et al. | Nov 2016 | A1 |
20160343163 | Venkatesha et al. | Nov 2016 | A1 |
20160343176 | Ackley | Nov 2016 | A1 |
20160364853 | Yamaguchi | Dec 2016 | A1 |
20160364914 | Todeschini | Dec 2016 | A1 |
20160370220 | Ackley et al. | Dec 2016 | A1 |
20160372282 | Bandringa | Dec 2016 | A1 |
20160373847 | Vargo et al. | Dec 2016 | A1 |
20160377414 | Thuries et al. | Dec 2016 | A1 |
20160377417 | Jovanovski et al. | Dec 2016 | A1 |
20170010141 | Ackley | Jan 2017 | A1 |
20170010328 | Mullen et al. | Jan 2017 | A1 |
20170010780 | Waldron et al. | Jan 2017 | A1 |
20170016714 | Laffargue et al. | Jan 2017 | A1 |
20170018094 | Todeschini | Jan 2017 | A1 |
20170046603 | Lee et al. | Feb 2017 | A1 |
20170047864 | Stang et al. | Feb 2017 | A1 |
20170053146 | Liu et al. | Feb 2017 | A1 |
20170053147 | Geramine et al. | Feb 2017 | A1 |
20170053647 | Nichols et al. | Feb 2017 | A1 |
20170055606 | Xu et al. | Mar 2017 | A1 |
20170060316 | Larson | Mar 2017 | A1 |
20170061961 | Nichols et al. | Mar 2017 | A1 |
20170064634 | Van Horn et al. | Mar 2017 | A1 |
20170083730 | Feng et al. | Mar 2017 | A1 |
20170091502 | Furlong et al. | Mar 2017 | A1 |
20170091706 | Lloyd et al. | Mar 2017 | A1 |
20170091741 | Todeschini | Mar 2017 | A1 |
20170091904 | Ventress | Mar 2017 | A1 |
20170092908 | Chaney | Mar 2017 | A1 |
20170094238 | Germaine et al. | Mar 2017 | A1 |
20170098947 | Wolski | Apr 2017 | A1 |
20170100949 | Celinder et al. | Apr 2017 | A1 |
20170108838 | Todeschini et al. | Apr 2017 | A1 |
20170108895 | Chamberlin et al. | Apr 2017 | A1 |
20170118355 | Wong et al. | Apr 2017 | A1 |
20170123598 | Phan et al. | May 2017 | A1 |
20170124369 | Rueblinger et al. | May 2017 | A1 |
20170124396 | Todeschini et al. | May 2017 | A1 |
20170124687 | McCloskey et al. | May 2017 | A1 |
20170126873 | McGary et al. | May 2017 | A1 |
20170126904 | d'Armancourt et al. | May 2017 | A1 |
20170139012 | Smith | May 2017 | A1 |
20170140329 | Bernhardt et al. | May 2017 | A1 |
20170140731 | Smith | May 2017 | A1 |
20170147847 | Berggren et al. | May 2017 | A1 |
20170150124 | Thuries | May 2017 | A1 |
20170169198 | Nichols | Jun 2017 | A1 |
20170169670 | Murphy | Jun 2017 | A1 |
20170171035 | Lu et al. | Jun 2017 | A1 |
20170171703 | Maheswaranathan | Jun 2017 | A1 |
20170171803 | Maheswaranathan | Jun 2017 | A1 |
20170180359 | Wolski et al. | Jun 2017 | A1 |
20170180577 | Nguon et al. | Jun 2017 | A1 |
20170181299 | Shi et al. | Jun 2017 | A1 |
20170190192 | Delario et al. | Jul 2017 | A1 |
20170193432 | Bernhardt | Jul 2017 | A1 |
20170193461 | Jonas et al. | Jul 2017 | A1 |
20170193727 | Van Horn et al. | Jul 2017 | A1 |
20170200108 | Au et al. | Jul 2017 | A1 |
20170200275 | McCloskey et al. | Jul 2017 | A1 |
20180150943 | Gur | May 2018 | A1 |
20190206059 | Landman | Jul 2019 | A1 |
Number | Date | Country |
---|---|---|
2006096162 | Sep 2006 | WO |
2013173985 | Nov 2013 | WO |
2013163789 | Nov 2013 | WO |
2014019130 | Feb 2014 | WO |
2014110495 | Jul 2014 | WO |
Entry |
---|
Search Report in related European Application No. 18185085.0 dated Dec. 20, 2018, pp. 1-9. |
Kalantidis et al., “Scalable trinagulation-based logo recognition”, Proceedings of the 1st ACM International Conference on Multimedia Retrieval, ICMR'11, Jan. 1, 2011, pp. 1-7 [Cited in EP Search Report.]. |
U.S. Patent Application for a Laser Scanning Module Employing an Elastomeric U-Hinge Based Laser Scanning Assembly, filed Feb. 7, 2012 (Feng et al.), U.S. Appl. No. 13/367,978. |
U.S. Patent Application for Indicia Reader filed Apr. 1, 2015 (Huck), U.S. Appl. No. 14/676,109. |
U.S. Patent Application for Multifunction Point of Sale Apparatus With Optical Signature Capture filed Jul. 30, 2014 (Good et al.), U.S. Appl. No. 14/446,391. |
U.S. Patent Application for Multipurpose Optical Reader, filed May 14, 2014 (Jovanovski et al.); 59 pages; now abandoned., U.S. Appl. No. 14/277,337. |
Number | Date | Country | |
---|---|---|---|
20190035197 A1 | Jan 2019 | US |