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公开(公告)号：US10789455B2
公开(公告)日：2020-09-29
申请号：US16148587
申请日：2018-10-01
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Byungin Yoo , Youngjun Kwak , Jungbae Kim , Jinwoo Son , Changkyo Lee , Chang Kyu Choi , Jaejoon Han
Abstract: A liveness test method and apparatus is disclosed. A processor implemented liveness test method includes extracting an interest region of an object from a portion of the object in an input image, performing a liveness test on the object using a neural network model-based liveness test model, the liveness test model using image information of the interest region as provided first input image information to the liveness test model and determining liveness based at least on extracted texture information from the information of the interest region by the liveness test model, and indicating a result of the liveness test.
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公开(公告)号：US10248844B2
公开(公告)日：2019-04-02
申请号：US15189454
申请日：2016-06-22
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jungbae Kim , Ruslan Salakhutdinov , Jaejoon Han , Byungin Yoo
Abstract: A training method of training an illumination compensation model includes extracting, from a training image, an albedo image of a face area, a surface normal image of the face area, and an illumination feature, the extracting being based on an illumination compensation model; generating an illumination restoration image based on the albedo image, the surface normal image, and the illumination feature; and training the illumination compensation model based on the training image and the illumination restoration image.
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公开(公告)号：US10121059B2
公开(公告)日：2018-11-06
申请号：US15656350
申请日：2017-07-21
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Byungin Yoo , Youngjun Kwak , Jungbae Kim , Jinwoo Son , Changkyo Lee , Chang Kyu Choi , Jaejoon Han
Abstract: A liveness test method and apparatus is disclosed. A processor implemented liveness test method includes extracting an interest region of an object from a portion of the object in an input image, performing a liveness test on the object using a neural network model-based liveness test model, the liveness test model using image information of the interest region as provided first input image information to the liveness test model and determining liveness based at least on extracted texture information from the information of the interest region by the liveness test model, and indicating a result of the liveness test.
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公开(公告)号：US12086212B2
公开(公告)日：2024-09-10
申请号：US17374174
申请日：2021-07-13
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jaeseok Choi , Nahyup Kang , Hyongeuk Lee , Byungin Yoo
CPC classification number: G06F18/253 , G06N3/08 , G06T5/70 , G06T5/73 , G06V10/462
Abstract: An image restoration method includes determining an anchor image based on individual images of a burst image set, executing a feature extraction network based on the burst image set while using anchor information of the anchor image, and generating a restored image based on a feature map corresponding to an output of the feature extraction network.
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公开(公告)号：US11682240B2
公开(公告)日：2023-06-20
申请号：US17468995
申请日：2021-09-08
Applicant: Samsung Electronics Co., Ltd.
Inventor： Byungin Yoo , Jingtao Xu , Chao Zhang , Hao Feng , Yanhu Shan , Youngjun Kwak , Youngsung Kim , Wonsuk Chang , Jaejoon Han
CPC classification number: G06V40/45 , G06V40/161 , G06V40/169 , G06V40/172
Abstract: 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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Patent Agency Ranking
公开(公告)号：US11176392B2
公开(公告)日：2021-11-16
申请号：US15886875
申请日：2018-02-02
Applicant: Samsung Electronics Co., Ltd.
Inventor： Byungin Yoo , Jingtao Xu , Chao Zhang , Hao Feng , Yanhu Shan , Youngjun Kwak , Youngsung Kim , Wonsuk Chang , Jaejoon Han
IPC: G06K9/00
Abstract: 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：US10733424B2
公开(公告)日：2020-08-04
申请号：US15833292
申请日：2017-12-06
Applicant: Samsung Electronics Co., Ltd.
Inventor： Changyong Son , Wonsuk Chang , Deoksang Kim , Dae-Kyu Shin , Byungin Yoo , Seungju Han , Jaejoon Han , Jinwoo Son , Chang Kyu Choi
Abstract: Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.
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公开(公告)号：US10552592B2
公开(公告)日：2020-02-04
申请号：US15097555
申请日：2016-04-13
Applicant: Samsung Electronics Co., Ltd.
Inventor： Wonjun Hwang , Wonjun Kim , Sungjoo Suh , Byungin Yoo , Changkyu Choi , Jaejoon Han
Abstract: A user authentication method includes receiving a first input image including information on a first modality; receiving a second input image including information on a second modality; determining at least one first score by processing the first input image based on at least one first classifier, the at least one first classifier being based on the first modality; determining at least one second score by processing the second input image based on at least one second classifier, the at least one second classifier being based on the second modality; and authenticating a user based on the at least one first score, the at least one second score, a first fusion parameter of the at least one first classifier, and a second fusion parameter of the at least one second classifier.
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公开(公告)号：US10528846B2
公开(公告)日：2020-01-07
申请号：US15795677
申请日：2017-10-27
Applicant: Samsung Electronics Co., Ltd.
Inventor： Youngsung Kim , Byungin Yoo , Deheng Qian , Hui Zhang , Chang Kyu Choi , He Zheng , Jae-Joon Han , Jingtao Xu , Tianchu Guo
Abstract: 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：US10387716B2
公开(公告)日：2019-08-20
申请号：US15467396
申请日：2017-03-23
Applicant: Samsung Electronics Co., Ltd.
Inventor： Youngsung Kim , Byungin Yoo , Youngjun Kwak , Chang Kyu Choi
IPC: G06K9/00
Abstract: A method and apparatus for recognizing a facial expression is provided. The method of recognizing the facial expression includes extracting a feature from an input image, extracting a feature from a reference image, and recognizing a user facial expression based on a difference between the feature of the input image and the feature of the reference image.
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