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公开(公告)号:US20230282216A1
公开(公告)日:2023-09-07
申请号:US18317503
申请日:2023-05-15
发明人: Seungju HAN , Jaejoon HAN , Minsu KO , Chang Kyu CHOI , Bohyung HAN
IPC分类号: G10L17/02 , G06N3/08 , G10L17/06 , G10L17/18 , G10L17/04 , G06V40/50 , G06V40/70 , G06F21/36 , G06F21/45 , G06V10/82 , G06F18/00 , G06F18/24 , G06N3/045 , G06V10/764
CPC分类号: G10L17/02 , G06F18/00 , G06F18/24 , G06F21/36 , G06F21/45 , G06N3/045 , G06N3/08 , G06V10/764 , G06V10/82 , G06V40/50 , G06V40/70 , G10L17/04 , G10L17/06 , G10L17/18
摘要: An authentication method and apparatus using a transformation model are disclosed. The authentication method includes generating, at a first apparatus, a first enrolled feature based on a first feature extractor, obtaining a second enrolled feature to which the first enrolled feature is transformed, determining an input feature by extracting a feature from input data with a second feature extractor different from the first feature extractor, and performing an authentication based on the second enrolled feature and the input feature.
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公开(公告)号:US20230222781A1
公开(公告)日:2023-07-13
申请号:US17970907
申请日:2022-10-21
发明人: Insoo KIM , Kikyung KIM , Seungju HAN , Jiwon BAEK , Jaejoon HAN
CPC分类号: G06V10/806 , G06V10/7715 , G06V10/82
摘要: A method and apparatus for object recognition are provided. A processor-implemented method includes extracting feature maps including local feature representations from an input image, generating a global feature representation corresponding to the input image by fusing the local feature representations, and performing a recognition task on the input image based on the local feature representations and the global feature representation.
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公开(公告)号:US20220318354A1
公开(公告)日:2022-10-06
申请号:US17668618
申请日:2022-02-10
发明人: Sungun PARK , Kyuhong KIM , Jaejoon HAN
摘要: An anti-spoofing method includes detecting first information related to whether the biometric information is forged, based on a first output vector of a first neural network configured to detect whether the biometric information is forged from the input data, extracting an input embedding vector including a feature of biometric information of a user from input data including the biometric information, calculating a similarity value of the input embedding vector based on a fake embedding vector and either one or both of a real embedding vector and an enrollment embedding vector that are provided in advance, calculating a total forgery score based on the similarity value and a second output vector of the first neural network according to whether the first information is detected, and detecting second information related to whether the biometric information is forged, based on the total forgery score.
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公开(公告)号:US20220318351A1
公开(公告)日:2022-10-06
申请号:US17569914
申请日:2022-01-06
发明人: Jaeyun LEE , Kyuhong KIM , Jiwhan KIM , Sungun PARK , Kiho CHO , Jaejoon HAN
摘要: A processor-implemented method with input data classification includes: extracting an input embedding vector including a feature of biometric information of a user from input data including the biometric information; determining an adaptive embedding vector adaptive to the input embedding vector, based on a combination of a plurality of enrollment embedding vectors that are based on enrollment data; and classifying the input data based on a similarity between the input embedding vector and the adaptive embedding vector.
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公开(公告)号:US20220188556A1
公开(公告)日:2022-06-16
申请号:US17340389
申请日:2021-06-07
发明人: Sung-Jae CHO , Kyuhong KIM , Sungun PARK , Geuntae BAE , Jaejoon HAN
摘要: A method and apparatus that detects whether biometric information is spoofed is provided. The method receives, from a sensor, first feature information including a static feature associated with biometric information of a user, and a dynamic feature obtained based on images related to the biometric information, detects whether the biometric information is spoofed based on a first score calculated based on the first feature information, fuses the first score with a second score calculated based on second feature information extracted from the images, based on a result of the detecting that the biometric information is spoofed based on the first score, and detects that the biometric information is spoofed based on a fused score.
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公开(公告)号:US20210166071A1
公开(公告)日:2021-06-03
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:US20210089754A1
公开(公告)日:2021-03-25
申请号:US17111907
申请日:2020-12-04
发明人: Changyong SON , Wonsuk CHANG , Deoksang KIM , Dae-Kyu SHIN , Byungin YOO , Seungju HAN , Jaejoon HAN , Jinwoo SON , Chang Kyu CHOI
摘要: 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:US20200293886A1
公开(公告)日:2020-09-17
申请号:US16811452
申请日:2020-03-06
发明人: Seungju HAN , Jaejoon HAN , Minsu KO , Chang Kyu CHOI , Bohyung HAN
摘要: An authentication method and apparatus using a transformation model are disclosed. The authentication method includes generating, at a first apparatus, a first enrolled feature based on a first feature extractor, obtaining a second enrolled feature to which the first enrolled feature is transformed, determining an input feature by extracting a feature from input data with a second feature extractor different from the first feature extractor, and performing an authentication based on the second enrolled feature and the input feature.
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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:US20190251237A1
公开(公告)日:2019-08-15
申请号:US16148129
申请日:2018-10-01
发明人: SungUn PARK , Jihye KIM , Jaejoon HAN , Minsu KO , Seungju HAN , Jinwoo SON , Changyong SON
CPC分类号: G06F21/32 , G06F16/5838 , G06K9/00248 , G06K9/00281 , G06K9/00288 , G06K9/00906 , G06K9/2054 , G06K9/46 , G06K9/6202 , G06K9/6215 , G06K2009/6213 , G06T7/74 , G06T2207/10024 , G06T2207/10048 , G06T2207/20024 , G06T2207/20081 , G06T2207/20084 , H04N5/247
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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