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公开(公告)号：US20220261567A1
公开(公告)日：2022-08-18
申请号：US17692492
申请日：2022-03-11
Applicant: Digimarc Corporation
Inventor： Tony F. Rodriguez , Bruce L. Davis , Geoffrey B. Rhoads , John D. Lord , Alastair M. Reed , Eric D. Evans , Rebecca L. Gerlach , Yang Bai , John F. Stach , Tomas Filler , Marc G. Footen , Sean Calhoon , William Y. Conwell , Brian T. MacIntosh
IPC: G06K7/10 , G06Q10/08 , G06Q20/20 , G06Q30/00 , G06V10/10 , G06V10/147 , G06V20/20 , G06V30/224 , G07G1/00 , G06K7/14
Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.
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公开(公告)号：US20220076027A1
公开(公告)日：2022-03-10
申请号：US17476608
申请日：2021-09-16
Applicant: Digimarc Corporation
Inventor： Eric D. Evans , Bryan Olmstead
Abstract: Inventory on a rack of store shelves is monitored by a camera-equipped system that senses when items have been removed. Image data is desirably sensed at plural spectral bands, to enhance item identification by digital watermark and/or other image recognition techniques. The system can be alert to the presence of nearby shoppers, and change its mode of operation in response, e.g., suppressing flash illumination or suspending image capture. The system may self-calibrate to the geometry of shelving in its field of view, and affine-correct captured imagery based on the camera's viewpoint. A great many other features and arrangements are also detailed.
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公开(公告)号：US20210192162A1
公开(公告)日：2021-06-24
申请号：US17142928
申请日：2021-01-06
Applicant: Digimarc Corporation
Inventor： Tony F. Rodriguez , Bruce L. Davis , Geoffrey B. Rhoads , John D. Lord , Alastair M. Reed , Eric D. Evans , Rebecca L. Gerlach , Yang Bai , John F. Stach , Tomas Filler , Marc G. Footen , Sean Calhoon , William Y. Conwell , Brian T. MacIntosh
IPC: G06K7/10 , G06K7/14 , G06K9/18 , G06K9/20 , G06K9/78 , G06Q30/00 , G07G1/00 , G06Q20/20 , G06K9/00 , G06Q10/08
Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.
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公开(公告)号：US20180005343A1
公开(公告)日：2018-01-04
申请号：US15641081
申请日：2017-07-03
Applicant: Digimarc Corporation
Inventor： Geoffrey B. Rhoads , Tony F. Rodriguez , Eric D. Evans , Ravi K. Sharma , Tomas Filler , Vahid Sedighianaraki
CPC classification number: G06T1/0092 , G06T1/0064 , G06T3/0006 , G06T7/32 , G06T7/74 , G06T2201/0051 , G06T2201/0052 , G06T2201/0061 , G06T2201/0065 , G06T2201/0601 , G06T2207/20021 , G06T2207/20048 , G06T2207/20081 , G06T2207/30244
Abstract: A steganographic digital watermark signal is decoded from host imagery without requiring a domain transformation for signal synchronization, thereby speeding and simplifying the decoding operation. In time-limited applications, such as in supermarket point-of-sale scanners that attempt watermark decode operations on dozens of video frames every second, the speed improvement allows a greater percentage of each image frame to be analyzed for watermark data. In battery-powered mobile devices, avoidance of repeated domain transformations extends battery life. A great variety of other features and arrangements, including machine learning aspects, are also detailed.
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公开(公告)号：US20170024840A1
公开(公告)日：2017-01-26
申请号：US15072884
申请日：2016-03-17
Applicant: Digimarc Corporation
Inventor： Vojtech Holub , Donald Haaga , Ravi K. Sharma , Jeffrey B. Schulte , Eric D. Evans
Abstract: The present disclosure relates to advanced image processing and encoded signal processing. One claim currently recites an image processing method comprising the acts: receiving a digital representation of artwork, the artwork having an area of uniform color; generating a two-dimensional data signal that redundantly encodes a plural-bit message, the data signal comprising plural elements, each of which has a single bit value; receiving a two-dimensional synchronization signal comprising plural elements, each of which has a plural-bit value, each element of said data signal having an element of the synchronization signal corresponding thereto; processing the two-dimensional data signal with the two-dimensional synchronization signal and with a gradient function to yield a two-dimensional gradient marking signal; and printing an ink counterpart of the gradient marking signal on a medium with the artwork, said printing comprising printing plural dithered two-dimensional blocks of at least four contiguous elements each, in which one or more elements of each block are printed to be dark. Of course, other claims and combinations are described as well.
Abstract translation: 本公开涉及高级图像处理和编码信号处理。 一个声称当前背诵包括以下动作的图像处理方法：接收艺术品的数字表示，艺术品具有均匀颜色的区域; 生成对多位消息进行冗余编码的二维数据信号，所述数据信号包括多个元素，每个元素具有单个位值; 接收包括多个元素的二维同步信号，每个元素具有多位值，所述数据信号的每个元素具有与其对应的同步信号的元素; 用二维同步信号和梯度函数处理二维数据信号以产生二维梯度标记信号; 并且在具有所述图形的介质上印刷所述梯度标记信号的墨水对应物，所述打印包括打印每个块的至少四个连续元件的多个抖动二维块，其中每个块的一个或多个元件被打印为较暗。 当然，还描述了其它权利要求和组合。
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Patent Agency Ranking
公开(公告)号：US20230076612A1
公开(公告)日：2023-03-09
申请号：US17903747
申请日：2022-09-06
Applicant: Digimarc Corporation
Inventor： Scott M. Long , Christopher M. Haverkate , Eric D. Evans
Abstract: In computer vision systems that need to decode machine-readable indicia from captured imagery, it is critical to select imaging parameters (e.g., exposure interval, exposure aperture, camera gain, intensity and duration of supplemental illumination) that best allow detection of subtle features from imagery. In illustrative embodiments, a Shannon entropy metric or a KL divergence metric is used to guide selection of an optimal set of imaging parameters. In accordance with other aspects of the technology, different strategies identify which spatial locations within captured imagery should be successively examined for machine readable indicia, in order to have a greatest likelihood of success, within a smallest interval of time. A great variety of other features and arrangements are also detailed.
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公开(公告)号：US20210157998A1
公开(公告)日：2021-05-27
申请号：US17150801
申请日：2021-01-15
Applicant: Digimarc Corporation
Inventor： Tony F. Rodriguez , Bruce L. Davis , Geoffrey B. Rhoads , John D. Lord , Alastair M. Reed , Eric D. Evans , Rebecca L. Gerlach , Yang Bai , John F. Stach , Tomas Filler , Marc G. Footen , Sean Calhoon , William Y. Conwell , Brian T. MacIntosh
IPC: G06K7/10 , G06K7/14 , G06K9/18 , G06K9/20 , G06K9/78 , G06Q30/00 , G07G1/00 , G06Q20/20 , G06K9/00 , G06Q10/08
Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.
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公开(公告)号：US10902544B2
公开(公告)日：2021-01-26
申请号：US16132149
申请日：2018-09-14
Applicant: Digimarc Corporation
Inventor： Yang Bai , Eric D. Evans , Tomas Filler
Abstract: The disclosure relates to detecting digital watermarking from retail items such as from packaged items, containers, bottles, cans or boxes. One claim recites a method utilized at a retail checkout location comprising: receiving imagery representing a retail item from a digital camera, the retail item including digital watermarking encoded thereon, the retail item moving relative to the digital camera; determining a region in the imagery corresponding to at least one faster moving object relative to background imagery, said determining yielding a determined region; arranging digital watermark detection blocks over the determined region; and analyzing data representing imagery from within the digital watermark detection blocks to detect the digital watermarking. Of course other claims and combinations are also provided.
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公开(公告)号：US20200380226A1
公开(公告)日：2020-12-03
申请号：US16893856
申请日：2020-06-05
Applicant: Digimarc Corporation
Inventor： Tony F. Rodriguez , Bruce L. Davis , Geoffrey B. Rhoads , John D. Lord , Alastair M. Reed , Eric D. Evans , Rebecca L. Gerlach , Yang Bai , John F. Stach , Tomas Filler , Marc G. Footen , Sean Calhoon , William Y. Conwell , Brian T. MacIntosh
IPC: G06K7/10 , G06K7/14 , G06K9/18 , G06K9/20 , G06K9/78 , G06Q30/00 , G07G1/00 , G06Q20/20 , G06K9/00 , G06Q10/08
Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.
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公开(公告)号：US20200372228A1
公开(公告)日：2020-11-26
申请号：US16893834
申请日：2020-06-05
Applicant: Digimarc Corporation
Inventor： Tony F. Rodriguez , Bruce L. Davis , Geoffrey B. Rhoads , John D. Lord , Alastair M. Reed , Eric D. Evans , Rebecca L. Gerlach , Yang Bai , John F. Stach , Tomas Filler , Marc G. Footen , Sean Calhoon , William Y. Conwell , Brian T. MacIntosh
IPC: G06K7/10 , G06K7/14 , G06K9/18 , G06K9/20 , G06K9/78 , G06Q30/00 , G07G1/00 , G06Q20/20 , G06K9/00 , G06Q10/08
Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.
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