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公开(公告)号：US20200210690A1
公开(公告)日：2020-07-02
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：US20180276492A1
公开(公告)日：2018-09-27
申请号：US15926161
申请日：2018-03-20
发明人： Hao FENG , Jae-Joon HAN , Changkyu CHOI , Chao ZHANG , Jingtao XU , Yanhu SHAN , Yaozu AN
CPC分类号： G06K9/3241 , G06K9/00281 , G06K9/036 , G06K9/6257 , G06K2009/4666 , G06T3/4007 , G06T7/0002 , G06T7/73 , G06T2207/30168
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：US20220180531A1
公开(公告)日：2022-06-09
申请号：US17541753
申请日：2021-12-03
发明人： Jingtao XU , Yiwei CHEN , Feng QIU , Byung In YOO , Changbeom PARK , Hyunjeong LEE , Jaejoon HAN , Qiang WANG , Jiaqian YU
摘要： A method with object tracking includes: determining a first target tracking state by tracking a target from a first image frame with a first field of view (FoV); determining a second FoV based on the first FoV and the first target tracking state; and generating a second target tracking result by tracking a target from a second image frame with the second FoV.
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公开(公告)号：US20180276489A1
公开(公告)日：2018-09-27
申请号：US15921740
申请日：2018-03-15
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
CPC分类号： G06K9/00906 , G06K9/00261 , G06K9/00281 , G06K9/00288 , G06K9/00899
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：US20180276455A1
公开(公告)日：2018-09-27
申请号：US15922237
申请日：2018-03-15
发明人： Yaozu AN , Jae-Joon HAN , Changkyu CHOI , Chao ZHANG , Hao FENG , Jingtao XU , Yanhu SHAN
CPC分类号： G06K9/00288 , G06K9/00221 , G06K9/00281 , G06K9/036 , G06K9/4628 , G06K9/6273 , G06T7/0002 , G06T2207/20076 , G06T2207/20081 , G06T2207/30168 , G06T2207/30201
摘要： A processor implemented image processing method includes acquiring a facial image by performing a face detection on an image, performing a quality assessment on the facial image using a preset facial image regression model, and determining a quality level of the facial image based on the quality assessment.
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公开(公告)号：US20180137630A1
公开(公告)日：2018-05-17
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：US20180137388A1
公开(公告)日：2018-05-17
申请号：US15795677
申请日：2017-10-27
发明人： Youngsung KIM , Byungin YOO , Deheng QIAN , Hui ZHANG , Chang Kyu CHOI , He ZHENG , Jae-Joon HAN , Jingtao XU , Tianchu GUO
CPC分类号： G06K9/623 , G06K9/00281 , G06K9/00288 , G06K9/6265 , G06K9/627 , G06K9/6297 , G06K9/66 , G06N3/0454
摘要： A method to analyze a facial image includes: inputting a facial image to a residual network including residual blocks that are sequentially combined and arranged in a direction from an input to an output; processing the facial image using the residual network; and acquiring an analysis map from an output of an N-th residual block among the residual blocks using a residual deconvolution network, wherein the residual network transfers the output of the N-th residual block to the residual deconvolution network, and N is a natural number that is less than a number of all of the residual blocks, and wherein the residual deconvolution network includes residual deconvolution blocks that are sequentially combined, and the residual deconvolution blocks correspond to respective residual blocks from a first residual block among the residual blocks to the N-th residual block.
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公开(公告)号：US20210406569A1
公开(公告)日：2021-12-30
申请号：US17468995
申请日：2021-09-08
发明人： Byungin YOO , Jingtao XU , Chao ZHANG , Hao FENG , Yanhu SHAN , Youngjun KWAK , Youngsung KIM , Wonsuk CHANG , Jaejoon HAN
IPC分类号： G06K9/00
摘要： A liveness test method and apparatus is disclosed. The liveness test method includes detecting a face region in an input image for a test target, implementing a first liveness test to determine a first liveness value based on a first image corresponding to the detected face region, implementing a second liveness test to determine a second liveness value based on a second image corresponding to a partial face region of the detected face region, implementing a third liveness test to determine a third liveness value based on an entirety of the input image or a full region of the input image that includes the detected face region and a region beyond the detected face region, and determining a result of the liveness test based on the first liveness value, the second liveness value, and the third liveness value.
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公开(公告)号：US20210232846A1
公开(公告)日：2021-07-29
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
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：US20210225018A1
公开(公告)日：2021-07-22
申请号：US17146752
申请日：2021-01-12
发明人： Jiaqian YU , Jingtao XU , Yiwei CHEN , Byung In YOO , Chang Kyu CHOI , Hana LEE , Jaejoon HAN , Qiang WANG
IPC分类号： G06T7/50 , H01L27/146
摘要： A depth estimation method and apparatus are provided. The depth estimation method includes obtaining an image from an image sensor comprising upper pixels, each comprising N sub-pixels, obtaining N sub-images respectively corresponding to the N sub-pixels from the image, obtaining a viewpoint difference between the N sub-images using a first neural network, and obtaining a depth map of the image based on the viewpoint difference using a second neural network.
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