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公开(公告)号：US12014571B2
公开(公告)日：2024-06-18
申请号：US17333915
申请日：2021-05-28
发明人： SungUn Park , Hyeongwook Yang , Tushar Balasaheb Sandhan , Jiaqian Yu , Jingtao Xu , Youngjun Kwak , Juwoan Yoo , Jae Joon Han
CPC分类号： G06V40/168 , G06F18/211 , G06F18/251 , G06F18/253 , G06V10/803 , G06V40/193 , G06V40/45 , G06V40/161
摘要： Provided is a liveness verification method and device. A liveness verification device acquires a first image and a second image, and select one or more liveness models based on respective analyses of the first image and the second image, including analyses based on an object part being detected in the first image and/or the second image, and to verify, using the selected one or more liveness models, a liveness of the object based on the first image and/or the second image. The first image may be a color image and the second image may be an Infrared image.
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公开(公告)号：US11227149B2
公开(公告)日：2022-01-18
申请号：US16707241
申请日：2019-12-09
发明人： Jaejoon Han , Hana Lee , Jihye Kim , Jingtao Xu , Chang Kyu Choi , Hangkai Tan , Jiaqian Yu
摘要： A processor-implemented liveness detection method includes: obtaining an initial image using a dual pixel sensor; obtaining a left image and a right image from the initial image; and detecting liveness of an object included in the initial image using the left image and the right image.
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公开(公告)号：US11915432B2
公开(公告)日：2024-02-27
申请号：US17146809
申请日：2021-01-12
发明人： Jingtao Xu , Jiaqian Yu , Byung In Yoo , Chang Kyu Choi , Hyunjeong Lee , Hangkai Tan , Jaejoon Han , Qiang Wang , Yiwei Chen
IPC分类号： G06T7/246 , G06T7/73 , G06F18/241 , G06V10/25 , G06V10/764 , G06V10/82 , G06V20/64
CPC分类号： G06T7/248 , G06F18/241 , G06T7/73 , G06V10/25 , G06V10/764 , G06V10/82 , G06V20/64
摘要： Disclosed is a target tracking method and apparatus. The target tracking apparatus includes a processor configured to obtain a first depth feature from a target region image and obtain a second depth feature from a search region image, obtain a global response diagram between the first depth feature and the second depth feature, acquire temporary bounding box information based on the global response diagram, updated the second depth feature based on the temporary bounding box information, obtain local feature blocks based on the first depth feature, obtain a local response diagram based on the local feature blocks and the updated second depth feature, and determine output bounding box information based on the local response diagram.
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公开(公告)号：US11380114B2
公开(公告)日：2022-07-05
申请号：US16849015
申请日：2020-04-15
发明人： Biao Wang , Chao Zhang , Changkyu Choi , Deheng Qian , Jae-Joon Han , Jingtao Xu , Hao Feng
IPC分类号： G06V30/194 , G06N3/04 , G06N3/08 , G06K9/62 , G06V10/32
摘要： A method of detecting a target includes generating an image pyramid based on an image on which a detection is to be performed; classifying candidate areas in the image pyramid using a cascade neural network; and determining a target area corresponding to a target included in the image based on the plurality of candidate areas, wherein the cascade neural network includes a plurality of neural networks, and at least one neural network among the neural networks includes parallel sub-neural networks.
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公开(公告)号：US10657424B2
公开(公告)日：2020-05-19
申请号：US15825951
申请日：2017-11-29
发明人： Biao Wang , Chao Zhang , Changkyu Choi , Deheng Qian , Jae-Joon Han , Jingtao Xu , Hao Feng
摘要： A method of detecting a target includes generating an image pyramid based on an image on which a detection is to be performed; classifying candidate areas in the image pyramid using a cascade neural network; and determining a target area corresponding to a target included in the image based on the plurality of candidate areas, wherein the cascade neural network includes a plurality of neural networks, and at least one neural network among the neural networks includes parallel sub-neural networks.
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公开(公告)号：US10565713B2
公开(公告)日：2020-02-18
申请号：US15794677
申请日：2017-10-26
发明人： Lin Ma , Deheng Qian , DongKyung Nam , Guangwei Wang , Jingu Heo , Jingtao Xu , Mingcai Zhou , Qiang Wang , Zairan Wang , Zhihua Liu
摘要： An image processing apparatus includes a calculator configured to calculate a respective position offset for each of a plurality of candidate areas in a second frame based on a position of a basis image in a first frame and a determiner configured to determine a final selected area that includes a target in the second frame based on a respective weight allocated to each of the plurality of candidate areas and the calculated respective position offset.
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公开(公告)号：US11908117B2
公开(公告)日：2024-02-20
申请号：US17227704
申请日：2021-04-12
发明人： Hao Feng , Jae-Joon Han , Changkyu Choi , Chao Zhang , Jingtao Xu , Yanhu Shan , Yaozu An
IPC分类号： G06T7/00 , G06T7/73 , G06V10/20 , G06V10/98 , G06V40/16 , G06F18/214 , G06V10/774 , G06V10/46
CPC分类号： G06T7/0002 , G06F18/2148 , G06T3/4007 , G06T7/73 , G06V10/255 , G06V10/7747 , G06V10/993 , G06V40/171 , G06T2207/30168 , G06V10/467
摘要： An image processing method implemented by a processor includes receiving an image, acquiring a target image that includes an object from the image, calculating an evaluation score by evaluating a quality of the target image, and detecting the object from the target image based on the evaluation score.
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公开(公告)号：US11138455B2
公开(公告)日：2021-10-05
申请号：US16861497
申请日：2020-04-29
发明人： Jingtao Xu , ByungIn Yoo , Jae-Joon Han , Chao Zhang , Hao Feng , Yanhu Shan , Yaozu An , Changkyu Choi
IPC分类号： G06K9/00
摘要： Disclosed is a liveness test method and apparatus. A liveness test apparatus determines a pre-liveness score based on a plurality of sub-images acquired from an input image, determines a post-liveness score based on a recognition model for recognizing an object included in the input image, and determines a liveness of the object based on any one or any combination of the pre-liveness score and the post-liveness score.
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公开(公告)号：US10963676B2
公开(公告)日：2021-03-30
申请号：US15842190
申请日：2017-12-14
发明人： Biao Wang , Bing Yu , Chang Kyu Choi , Deheng Qian , Jae-Joon Han , Jingtao Xu , Yaozu An
摘要： An image processing apparatus, includes an image classifier configured to determine whether an input image is a low-quality image or a high-quality image; and an image evaluator configured to determine a first predetermined number of clearest images from a plurality of low-quality images determined by the image classifier.
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公开(公告)号：US10860841B2
公开(公告)日：2020-12-08
申请号：US15837877
申请日：2017-12-11
发明人： Tianchu Guo , Youngsung Kim , Hui Zhang , Byungin Yoo , Chang Kyu Choi , Jae-Joon Han , Jingtao Xu , Deheng Qian
摘要： A processor implemented method of processing a facial expression image, the method includes acquiring an expression feature of each of at least two reference facial expression images; generating a new expression feature based on an interpolation value of the expression feature; and adjusting a target facial expression image based on the new expression feature and creating a new facial expression image.
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