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公开(公告)号:US20200257786A1
公开(公告)日:2020-08-13
申请号:US16860267
申请日:2020-04-28
Applicant: Samsung Electronics Co., Ltd.
Inventor: Jungbae KIM , Seon Min RHEE , Jaejoon HAN
IPC: G06F21/32 , G07C9/37 , G06K9/62 , G06K9/00 , H04L29/06 , G06K9/46 , G06F21/36 , G06F21/45 , G06F16/51 , G06F16/23
Abstract: A method of adaptively updating an enrollment database is disclosed. The method may include extracting a first feature vector from an input image, the input image including a face of a user, determining whether to enroll the input image in the enrollment database based on the first feature vector, second feature vectors of enrollment images and a representative vector, the second feature vectors of the enrollment images being enrolled in the enrollment database, and the representative vector representing the second feature vectors, and enrolling the input image in the enrollment database based on a result of the determining.
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公开(公告)号:US20190332851A1
公开(公告)日:2019-10-31
申请号:US16508527
申请日:2019-07-11
Applicant: Samsung Electronics Co., Ltd.
Inventor: Seungju HAN , Minsu KO , Deoksang KIM , Chang Kyu CHOI , Jaejoon HAN
Abstract: A face verifying method and apparatus. The face verifying method includes detecting a face region from an input image, generating a synthesized face image by combining image information of the face region and reference image information, based on a determined masking region, extracting one or more face features from the face region and the synthesized face image, performing a verification operation with respect to the one or more face features and predetermined registration information, and indicating whether verification of the input image is successful based on a result of the performed verification operation.
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公开(公告)号:US20190294907A1
公开(公告)日:2019-09-26
申请号:US16437495
申请日:2019-06-11
Inventor: Byungin YOO , Jun Ho YIM , Jun Mo KIM , Hee Chul JUNG , Chang Kyu CHOI , Jaejoon HAN
Abstract: At least some example embodiments disclose a device and a method for generating a synthetic image and a different-angled image and eliminating noise. The method may include receiving input images, extracting feature values corresponding to the input images using an image learning model, the image learning model permitting an input and an output to be identical and generating a synthetic image based on the feature values corresponding to the input images using the image learning model.
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公开(公告)号:US20190251239A1
公开(公告)日:2019-08-15
申请号:US16250276
申请日:2019-01-17
Applicant: Samsung Electronics Co., Ltd.
Inventor: Jihye KIM , Seungju HAN , Jaejoon HAN , Chang Kyu CHOI
CPC classification number: G06F21/32 , H04W12/002
Abstract: A processor-implemented method of performing authentication includes obtaining a first biometric information of a user according to a first modality; calculating a first score based on the first biometric information; filtering the first score; determining whether the filtered first score satisfies a second condition; and selectively, based on a result of the determining, authenticating the user based on the first score and a first condition corresponding to the first modality. The second condition is different from the first condition.
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公开(公告)号:US20190197331A1
公开(公告)日:2019-06-27
申请号:US16224970
申请日:2018-12-19
Applicant: Samsung Electronics Co., Ltd.
Inventor: Youngjun KWAK , Byung In YOO , Youngsung KIM , Chang Kyu CHOI , Jaejoon HAN
CPC classification number: G06K9/00906 , G06F21/6218 , G06K9/00228 , G06K9/00268 , G06K9/00926 , G06K9/4628 , G06K9/6215 , G06K9/6272 , G06N3/02 , G06T7/60 , G06T7/70 , G06T2207/20084 , G06T2207/30201
Abstract: A processor-implemented liveness test method includes detecting a face region in a query image, the query image including a test object for a liveness test, determining a liveness test condition to be applied to the test object among at least one liveness test condition for at least one registered user registered in a registration database, determining at least one test region in the query image based on the detected face region and the determined liveness test condition, obtaining feature data of the test object from image data of the determined at least one test region using a neural network-based feature extractor, and determining a result of the liveness test based on the obtained feature data and registered feature data registered in the registration database and corresponding to the determined liveness test condition.
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公开(公告)号:US20180285630A1
公开(公告)日:2018-10-04
申请号:US15888294
申请日:2018-02-05
Applicant: Samsung Electronics Co., Ltd.
Inventor: Seungju HAN , Minsu KO , Deoksang KIM , Chang Kyu CHOI , Jaejoon HAN
CPC classification number: G06K9/00288 , G06K9/00255 , G06K9/00281 , G06K9/2054 , G06K9/4628 , G06K9/6288
Abstract: A face verifying method and apparatus. The face verifying method includes detecting a face region from an input image, generating a synthesized face image by combining image information of the face region and reference image information, based on a determined masking region, extracting one or more face features from the face region and the synthesized face image, performing a verification operation with respect to the one or more face features and predetermined registration information, and indicating whether verification of the input image is successful based on a result of the performed verification operation.
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公开(公告)号:US20180165517A1
公开(公告)日:2018-06-14
申请号:US15791846
申请日:2017-10-24
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Hyunjeong LEE , Sungjoo SUH , Changyong SON , Chang Kyu CHOI , Jaejoon HAN
IPC: G06K9/00
CPC classification number: G06K9/00617 , G06K9/00604 , G06K9/0061 , G06K9/036
Abstract: Disclosed is a user recognition apparatus and method, the apparatus configured to determine a validity of an iris area for each frame, to perform an iris recognition when the iris area is valid, and to extract a facial feature for a fusion recognition when the iris area is invalid.
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公开(公告)号:US20180137395A1
公开(公告)日:2018-05-17
申请号:US15470956
申请日:2017-03-28
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Seungju HAN , Jaejoon HAN
CPC classification number: G06K9/66 , G06K9/00067 , G06K9/00087 , G06K9/00268 , G06K9/00288 , G06K9/0061 , G06K9/00617 , G06K9/00926 , G06K9/4628 , G06K9/6223 , G06K9/6257 , G06K9/6274 , G06N3/04 , G06N3/0454 , G06N3/08
Abstract: Provided is an apparatus and method for data recognition and training. The training apparatus generates a recognition model by grouping training data, performing clustering after excluding representative information from the grouped training data, and grouping the clustered data into sub-groups. The recognition apparatus identifies feature data and a cluster to which the feature data belongs from input data using a recognition model, and recognizes the input data based on the feature data and the cluster to which the feature data belongs.
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公开(公告)号:US20180018819A1
公开(公告)日:2018-01-18
申请号:US15717066
申请日:2017-09-27
Applicant: Samsung Electronics Co., Ltd.
Inventor: Youngkyoo HWANG , Jungbae KIM , Seon Min RHEE , Jaejoon HAN
CPC classification number: G06T17/20 , G06K9/00208 , G06K9/00268 , G06K9/00281 , G06T15/04 , G06T17/00
Abstract: A method of generating a three-dimensional (3D) face model includes extracting feature points of a face from input images comprising a first face image and a second face image; deforming a generic 3D face model to a personalized 3D face model based on the feature points; projecting the personalized 3D face model to each of the first face image and the second face image; and refining the personalized 3D face model based on a difference in texture patterns between the first face image to which the personalized 3D face model is projected and the second face image to which the personalized 3D face model is projected.
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公开(公告)号:US20170154461A1
公开(公告)日:2017-06-01
申请号:US15344903
申请日:2016-11-07
Applicant: Samsung Electronics Co., Ltd.
Inventor: Seon Min RHEE , Jungbae KIM , Jaejoon HAN
CPC classification number: G06T17/10 , G06K9/00208 , G06K9/00281 , G06K9/469 , G06K9/621 , G06T15/04 , G06T17/00
Abstract: A three-dimensional (3D) face modeling method and apparatus is disclosed. The 3D face modeling apparatus may generate a personalized 3D face model using a two-dimensional (2D) input image and a generic 3D face model, obtain a depth image and a texture image using the generated personalized 3D face model, determine a patch region of each of the depth image and the texture image, and adjust a shape of the personalized 3D face model based on a matching relationship between the patch region of the depth image and the patch region of the texture image.
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