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公开(公告)号:US12300025B2
公开(公告)日:2025-05-13
申请号:US18419874
申请日:2024-01-23
Applicant: Samsung Electronics Co., Ltd.
Inventor: Seungju Han , Minsu Ko , Deoksang Kim , Jae-Joon Han
IPC: G06V40/16
Abstract: A facial verification method and apparatus is disclosed. The facial verification method includes detecting a face region in an input image, determining whether the detected face region represents a partial face, in response to a determination that the detected face region represents the partial face, generating a synthesized image by combining image information of the detected face region and reference image information, performing a verification operation with respect to the synthesized image and predetermined first registration information, and indicating whether facial 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:US11861937B2
公开(公告)日:2024-01-02
申请号:US16394285
申请日:2019-04-25
Applicant: Samsung Electronics Co., Ltd.
Inventor: Seungju Han , Minsu Ko , Deoksang Kim , Jae-Joon Han
IPC: G06V40/16
CPC classification number: G06V40/166 , G06V40/171 , G06V40/172
Abstract: The facial verification apparatus is a mobile computing apparatus, including a camera to capture an image, a display, and one or more processors. While in a lock state, the image is captured and facial verification performed using a face image, or using a detected face and in response to the face being detected. The facial verification includes a matching with respect to the detected face, or obtained face image, and a registered face information. If the verification is successful, the lock state of the apparatus may be canceled and the user allowed access to the apparatus. The lock state may be cancelled when the verification is successful and the user has been determined to have been attempting to gain access to the apparatus. Face image feedback to the user may not be displayed during the detecting for, or obtaining of, the face and/or performing of the facial verification.
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公开(公告)号:US11790494B2
公开(公告)日:2023-10-17
申请号:US17540307
申请日:2021-12-02
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Seungju Han , Minsu Ko , Jaejoon Han , Chang Kyu Choi
CPC classification number: G06T5/005 , G06T5/50 , G06T7/73 , G06V40/165 , G06V40/171 , G06V40/172 , G06T2207/10012 , G06T2207/20216 , G06T2207/20221 , G06T2207/30201
Abstract: 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:US11475537B2
公开(公告)日:2022-10-18
申请号:US17201467
申请日:2021-03-15
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Seungju Han , Minsu Ko , Changyong Son , Jaejoon Han
Abstract: A processor-implemented image normalization method includes extracting a first object patch from a first input image and extracting a second object patch from a second input image based on an object area that includes an object detected from any one or any combination of the first input image and the second input image, determining, based on a first landmark detected from the first object patch, a second landmark of the second object patch; and normalizing the first object patch and the second object patch based on the first landmark and the second landmark.
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公开(公告)号:US11347973B2
公开(公告)日:2022-05-31
申请号:US16595774
申请日:2019-10-08
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Seon Min Rhee , Minsu Ko , Jihye Kim , Byung In Yoo , Chang Kyu Choi , Jaejoon Han
Abstract: An apparatus for training an image generative model and an image generating apparatus are provided. The apparatus generates output images from a plurality of input images based on the generative model, extracts depth features from the respective output images based on a depth classification model, calculates a depth loss from the extracted depth features, and trains the generative model based on an overall loss that includes the calculated depth loss.
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公开(公告)号:US10977768B2
公开(公告)日:2021-04-13
申请号:US16266808
申请日:2019-02-04
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Seungju Han , Minsu Ko , Changyong Son , Jaejoon Han
Abstract: A processor-implemented image normalization method includes extracting a first object patch from a first input image and extracting a second object patch from a second input image based on an object area that includes an object detected from any one or any combination of the first input image and the second input image, determining, based on a first landmark detected from the first object patch, a second landmark of the second object patch; and normalizing the first object patch and the second object patch based on the first landmark and the second landmark.
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公开(公告)号:US10860700B2
公开(公告)日:2020-12-08
申请号:US15967898
申请日:2018-05-01
Applicant: Samsung Electronics Co., Ltd.
Inventor: Minsu Ko , Seungju Han , JaeJoon Han , Deoksang Kim , Chang Kyu Choi
IPC: G06F21/32 , G06F16/583
Abstract: A method and apparatus with an adaptively updated enrollment database (DB) are provided. A method with an adaptively updated enrollment database (DB) includes extracting an input feature vector from an input image, determining whether the input feature vector is included in a changeable enrollment range, with the changeable enrollment range being determined based on a threshold distance from each of plural enrolled feature vectors in the enrollment DB, and with the enrolled feature vectors corresponding to enrolled images, determining whether to enroll the input feature vector in the enrollment DB in response to the input feature vector being determined as being included in the changeable enrollment range, and in response to a result of the determining of whether to enroll the input feature vector being to enroll the input feature vector, selectively enrolling the input feature vector in the enrollment DB.
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公开(公告)号:US12293765B2
公开(公告)日:2025-05-06
申请号:US18317503
申请日:2023-05-15
Applicant: SAMSUNG ELECTRONICS CO., LTD. , SNU R&DB FOUNDATION
Inventor: Seungju Han , Jaejoon Han , Minsu Ko , Chang Kyu Choi , Bohyung Han
IPC: G10L17/02 , G06F18/20 , G06F18/24 , G06F21/36 , G06F21/45 , G06N3/045 , G06N3/08 , G06V10/764 , G06V10/82 , G06V40/50 , G06V40/70 , G10L17/04 , G10L17/06 , G10L17/18
Abstract: 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:US12266214B2
公开(公告)日:2025-04-01
申请号:US18473786
申请日:2023-09-25
Applicant: Samsung Electronics Co., Ltd.
Inventor: Hana Lee , Solae Lee , Minsu Ko , Jiwon Baek , Seungju Han
Abstract: A liveness detection method and apparatus, and a facial verification method and apparatus are disclosed. The liveness detection method includes detecting a face region in an input image, measuring characteristic information of the face region, adjusting the measured characteristic information in response to the characteristic information not satisfying a condition, and performing a liveness detection on the face region with the adjusted characteristic information upon the measured characteristic information not satisfying the condition.
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公开(公告)号:US11688403B2
公开(公告)日:2023-06-27
申请号:US16811452
申请日:2020-03-06
Applicant: SAMSUNG ELECTRONICS CO., LTD. , SNU R&DB FOUNDATION
Inventor: Seungju Han , Jaejoon Han , Minsu Ko , Chang Kyu Choi , Bohyung Han
IPC: 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 classification number: 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
Abstract: 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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