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公开(公告)号：US12062251B2
公开(公告)日：2024-08-13
申请号：US18312997
申请日：2023-05-05
发明人： SungUn Park , Jihye Kim , Jaejoon Han , Minsu Ko , Seungju Han , Jinwoo Son , Changyong Son
IPC分类号： G06F21/00 , G06F16/583 , G06F18/22 , G06F21/32 , G06T7/73 , G06V40/16 , G06V40/40 , H04N23/90 , G06V10/75
CPC分类号： G06V40/172 , G06F16/5838 , G06F18/22 , G06F21/32 , G06T7/74 , G06V40/45 , H04N23/90 , G06T2207/10024 , G06T2207/10048 , G06T2207/20024 , G06T2207/20081 , G06T2207/20084 , G06V10/759 , G06V40/165 , G06V40/171
摘要： An image matching method includes extracting, from a first image of an object, a landmark patch including a landmark point of the object, extracting, from a second image of the object, a target patch corresponding to the landmark patch; and determining a target point in the second image corresponding to the landmark point based on a matching between the landmark patch and the target patch.
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公开(公告)号：US11810397B2
公开(公告)日：2023-11-07
申请号：US17208048
申请日：2021-03-22
发明人： Jiwon Baek , Seong-Jin Park , Seungju Han , Insoo Kim , Jaejoon Han
IPC分类号： G06V40/16 , G06T7/73 , G06V10/75 , G06N3/04 , G06N3/08 , G06T3/40 , G06T3/60 , G06T9/00 , G06F18/214
CPC分类号： G06V40/172 , G06F18/214 , G06N3/04 , G06N3/08 , G06T3/40 , G06T3/60 , G06T7/73 , G06T9/002 , G06V10/751 , G06V40/171 , G06T2207/20081 , G06T2207/20084 , G06T2207/30201
摘要： A processor-implemented facial image generating method includes: determining a first feature vector associated with a pose and a second feature vector associated with an identity by encoding an input image including a face; determining a flipped first feature vector by flipping the first feature vector with respect to an axis in a corresponding space; determining an assistant feature vector based on the flipped first feature vector and rotation information corresponding to the input image; determining a final feature vector based on the first feature vector and the assistant feature vector; and generating an output image including a rotated face by decoding the final feature vector and the second feature vector based on the rotation information.
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公开(公告)号：US11749005B2
公开(公告)日：2023-09-05
申请号：US17948450
申请日：2022-09-20
发明人： Heewon Kim , Seon Min Rhee , Jihye Kim , Ju Hwan Song , Jaejoon Han
IPC分类号： G06V20/64 , G06T7/50 , G06F21/32 , G06N3/08 , G06V40/16 , G06F18/22 , G06F18/214 , G06F18/2413 , G06V10/74 , G06V10/44 , G06V10/75
CPC分类号： G06V20/647 , G06F18/214 , G06F18/22 , G06F18/2413 , G06F21/32 , G06N3/08 , G06T7/50 , G06V10/454 , G06V10/751 , G06V10/761 , G06V40/165 , G06V40/168 , G06V40/172 , G06T2207/10028 , G06T2207/20081 , G06T2207/20084 , G06T2207/30201
摘要： A user authentication method and a user authentication apparatus acquire an input image including a frontalized face of a user, calculate a confidence map including confidence values, for authenticating the user, corresponding to pixels with values maintained in a depth image of the frontalized face of the user among pixels included in the input image, extract a second feature vector from a second image generated based on the input image and the confidence map, acquire a first feature vector corresponding to an enrolled image, and perform authentication of the user based on a correlation between the first feature vector and the second feature vector.
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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
发明人： Byungin Yoo , Jingtao Xu , Chao Zhang , Hao Feng , Yanhu Shan , Youngjun Kwak , Youngsung Kim , Wonsuk Chang , Jaejoon Han
CPC分类号： G06V40/45 , G06V40/161 , G06V40/169 , G06V40/172
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：US11482042B2
公开(公告)日：2022-10-25
申请号：US16875368
申请日：2020-05-15
发明人： Heewon Kim , Seon Min Rhee , Jihye Kim , Ju Hwan Song , Jaejoon Han
摘要： A user authentication method and a user authentication apparatus acquire an input image including a frontalized face of a user, calculate a confidence map including confidence values, for authenticating the user, corresponding to pixels with values maintained in a depth image of the frontalized face of the user among pixels included in the input image, extract a second feature vector from a second image generated based on the input image and the confidence map, acquire a first feature vector corresponding to an enrolled image, and perform authentication of the user based on a correlation between the first feature vector and the second feature vector.
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公开(公告)号：US11341365B2
公开(公告)日：2022-05-24
申请号：US16913205
申请日：2020-06-26
发明人： Seong-Jin Park , Insoo Kim , Seungju Han , Jiwon Baek , Ju Hwan Song , Jaejoon Han
摘要： A processor-implemented neural network method includes: determining, using a neural network, a feature vector based on a training image of a first class among a plurality of classes; determining, using the neural network, plural feature angles between the feature vector and class vectors of other classes among the plurality of classes; determining a margin based on a class angle between a first class vector of the first class and a second class vector of a second class, among the class vectors, and a feature angle between the feature vector and the first class vector; determining a loss value using a loss function including an angle with the margin applied to the feature angle and the plural feature angles; and training the neural network by updating, based on the loss value, either one or both of one or more parameters of the neural network and one or more of the class vectors.
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公开(公告)号：US11200405B2
公开(公告)日：2021-12-14
申请号：US16426460
申请日：2019-05-30
发明人： Seungju Han , Minsu Ko , Jaejoon Han , Chang Kyu Choi
摘要： A three-dimensional (3D) image-based facial verification method and apparatus is provided. The facial verification method may include capturing a facial image of a 3D face of a user, determining an occluded region in the captured facial image by comparing the captured facial image and an average facial image, generating a synthetic image by synthesizing the captured facial image and the average facial image based on the occluded region, and verifying the user based on the synthetic image.
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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
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：US11163982B2
公开(公告)日：2021-11-02
申请号：US16508527
申请日：2019-07-11
发明人： Seungju Han , Minsu Ko , Deoksang Kim , Chang Kyu Choi , Jaejoon Han
摘要： 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：US10755126B2
公开(公告)日：2020-08-25
申请号：US15798461
申请日：2017-10-31
发明人： Jinwoo Son , Changyong Son , Chang Kyu Choi , Jaejoon Han
摘要： A convolutional neural network (CNN) processing method and apparatus. The apparatus may select, based on at least one of a characteristic of at least one kernel of a convolution layer or a characteristic of an input of the convolution layer, one operation mode from a first operation mode reusing a kernel, of the at least one kernel, and a second operation mode reusing the input, and perform a convolution operation based on the selected operation mode.
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