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公开(公告)号：US12272173B2
公开(公告)日：2025-04-08
申请号：US18515798
申请日：2023-11-21
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Youngjun Kwak , Minsu Ko , Youngsung Kim , Heewon Kim , Ju Hwan Song , Byung In Yoo , Seon Min Rhee , Yong-il Lee , Jiho Choi , Seungju Han
Abstract: A processor-implemented method includes generating a preprocessed infrared (IR) image by performing first preprocessing based on an IR image including an object; generating a preprocessed depth image by performing second preprocessing based on a depth image including the object; and determining whether the object is a genuine object based on the preprocessed IR image and the preprocessed depth image.
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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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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：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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公开(公告)号：US12148249B2
公开(公告)日：2024-11-19
申请号：US17570761
申请日：2022-01-07
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Solae Lee , Youngjun Kwak , Sungheon Park , Byung In Yoo , Yong-Il Lee , Hana Lee , Jiho Choi
IPC: G06V40/00 , G06F18/21 , G06F18/25 , G06T7/00 , G06V10/147 , G06V10/50 , G06V10/764 , G06V10/80 , G06V10/82 , G06V40/40
Abstract: A method and apparatus for detecting a liveness based on a phase difference are provided. The method includes generating a first phase image based on first visual information of a first phase, generating a second phase image based on second visual information of a second phase, generating a minimum map based on a disparity between the first phase image and the second phase image, and detecting a liveness based on the minimum map.
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Patent Agency Ranking
公开(公告)号：US11721131B2
公开(公告)日：2023-08-08
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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公开(公告)号：US11636575B2
公开(公告)日：2023-04-25
申请号：US17507872
申请日：2021-10-22
Applicant: Samsung Electronics Co., Ltd.
Inventor： Chang Kyu Choi , Youngjun Kwak , Seohyung Lee
Abstract: A processor-implemented method of generating feature data includes: receiving an input image; generating, based on a pixel value of the input image, at least one low-bit image having a number of bits per pixel lower than a number of bits per pixel of the input image; and generating, using at least one neural network, feature data corresponding to the input image from the at least one low-bit image.
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公开(公告)号：US11093734B2
公开(公告)日：2021-08-17
申请号：US16182861
申请日：2018-11-07
Applicant: Samsung Electronics Co., Ltd.
Inventor： Youngsung Kim , Youngjun Kwak , Byung In Yoo , Seohyung Lee
Abstract: A method and apparatus with emotion recognition acquires a plurality of pieces of data corresponding a plurality of inputs for each modality and corresponding to a plurality of modalities; determines a dynamics representation vector corresponding to each of the plurality of modalities based on a plurality of features for each modality extracted from the plurality of pieces of data; determines a fused representation vector based on the plurality of dynamics representation vectors corresponding to the plurality of modalities; and recognizes an emotion of a user based on the fused representation vector.
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公开(公告)号：US11023757B2
公开(公告)日：2021-06-01
申请号：US16268792
申请日：2019-02-06
Applicant: Samsung Electronics Co., Ltd.
Inventor： SungUn Park , Hyeongwook Yang , Tushar Balasaheb Sandhan , Jiaqian Yu , Jingtao Xu , Youngjun Kwak , Juwoan Yoo , Jae Joon Han
Abstract: 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：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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