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公开(公告)号：US11854310B2
公开(公告)日：2023-12-26
申请号：US17580548
申请日：2022-01-20
Inventor： Xuan Cao , Shouhong Ding , Jia Meng , Taiping Yao , Yanhao Ge , Chengjie Wang
CPC classification number: G06V40/45 , G06V10/14 , G06V40/166 , G06V40/168 , G06V40/63
Abstract: A face liveness detection method is performed by an electronic device. The method includes: obtaining an initial face image of an object and a face image set of the object captured at N different illumination directions; obtaining N difference images according to the initial face image and the N face images in the face image set; generating a normal map and an albedo map according to the N difference images and the N illumination directions; and determining a face liveness detection result according to the N difference images, the normal map, and the albedo map, the face liveness detection result indicating whether the object has a live face or not. In this application, three-dimensional (3D) geometric information and surface material information of a face image are considered, thereby recognizing the authenticity of the face image, and effectively resisting different face liveness attack manners.
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公开(公告)号：US12260615B2
公开(公告)日：2025-03-25
申请号：US18072272
申请日：2022-11-30
Inventor： Bo Li , Jianghe Xu , Shuang Wu , Shouhong Ding , Jilin Li
IPC: G06V10/764 , G06F21/56 , G06V10/44 , G06V10/74 , G06V10/774 , G06V10/776 , G06V10/80
Abstract: An image attack detection method includes: acquiring an image-to-be-detected, and performing global classification recognition based on the image-to-be-detected to obtain a global classification recognition result; performing local image extraction randomly based on the image-to-be-detected to obtain a target number of local images, the target number being obtained by calculation according to a defensive rate of a reference image corresponding to the image-to-be-detected; performing local classification recognition based on the target number of local images respectively to obtain respective local classification recognition results, and fusing the respective local classification recognition results to obtain a target classification recognition result; and detecting a similarity between the target classification recognition result and the global recognition result, and determining the image-to-be-detected as an attack image when the target classification recognition result and the global classification recognition result are dissimilar.
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公开(公告)号：US10599913B2
公开(公告)日：2020-03-24
申请号：US16509091
申请日：2019-07-11
Inventor： Shouhong Ding , Jilin Li , Chengjie Wang , Feiyue Huang , Yongjian Wu , Guofu Tan
Abstract: Face model matrix training method, apparatus, and storage medium are provided. The method includes: obtaining a face image library, the face image library including k groups of face images, and each group of face images including at least one face image of at least one person, k>2, and k being an integer; separately parsing each group of the k groups of face images, and calculating a first matrix and a second matrix according to parsing results, the first matrix being an intra-group covariance matrix of facial features of each group of face images, and the second matrix being an inter-group covariance matrix of facial features of the k groups of face images; and training face model matrices according to the first matrix and the second matrix.
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公开(公告)号：US11972638B2
公开(公告)日：2024-04-30
申请号：US17513731
申请日：2021-10-28
Inventor： Jian Zhang , Jia Meng , Taiping Yao , Ying Tai , Shouhong Ding , Jilin Li
CPC classification number: G06V40/45 , G06V10/56 , G06V20/64 , G06V40/171 , G06V40/172 , G06V10/95
Abstract: This application provides a face living body detection method performed by a computing device, the method including: obtaining a first face image of a target detection object in a first illumination condition and a second face image of the target detection object in a second illumination condition, determining a difference image according to the two images, decoupling an object reflectivity and an object normal vector corresponding to the target detection object from a feature map extracted from the difference image, and determining whether the target detection object is a living body according to the object reflectivity and the object normal vector. This method decouples texture information and depth information of a face, and performs living body detection by using decoupled information, which increases the defense capability against 3D attacks, thereby effectively defending against planar attacks and 3D attacks.
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公开(公告)号：US11176393B2
公开(公告)日：2021-11-16
申请号：US16864103
申请日：2020-04-30
Inventor： Shuang Wu , Shouhong Ding , Yicong Liang , Yao Liu , Jilin Li
Abstract: A face liveness recognition method includes: obtaining a target image containing a facial image; extracting facial feature data of the facial image in the target image; performing face liveness recognition according to the facial feature data to obtain a first confidence level using a first recognition model, the first confidence level denoting a first probability of recognizing a live face; extracting background feature data from an extended facial image, the extended facial image being obtained by extending a region that covers the facial image; performing face liveness recognition according to the background feature data to obtain a second confidence level using a second recognition model, the second confidence level denoting a second probability of recognizing a live face; and according to the first confidence level and the second confidence level, obtaining a recognition result indicating that the target image is a live facial image.
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Patent Agency Ranking
公开(公告)号：US10922529B2
公开(公告)日：2021-02-16
申请号：US16208183
申请日：2018-12-03
Inventor： Yicong Liang , Jilin Li , Chengjie Wang , Shouhong Ding
IPC: G06K9/00 , G06K9/32 , G06N3/04 , G06K9/46 , G06K9/62 , G06T7/11 , G06F21/32 , G06N3/08 , G06T5/00
Abstract: A device receives an image-based authentication request from a specified object and performs human face authentication in a manner depending on whether the object wears glasses. Specifically, the device designates a glasses region on a daily photograph of the specified object using a glasses segmentation model. If the regions of the human face in the daily photograph labeled as glasses exceed a first threshold amount, the device modifies the daily photograph by changing pixel values of the regions that are labeled as being obscured by glasses. The device extracts features of a daily human face from the daily photograph and features of an identification human face from the identification photograph. The device approves the authentication request if a matching degree between the features of the daily human face and the features of the identification human face is greater than a second threshold amount.
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7.发明申请公开(公告)号：US20230095182A1
公开(公告)日：2023-03-30
申请号：US18060366
申请日：2022-11-30
Inventor： Taiping Yao , Keyue Zhang , Shuang Wu , Jia Meng , Shouhong Ding , Jilin Li
Abstract: A method and apparatus for extracting biological features, a device, a medium, and a program product, relating to the field of image processing. The method includes generating an image sequence according to a biological feature image, the image sequence including the biological feature image and n local image blocks, the local image blocks being obtained by segmenting the biological feature image, n being a positive integer, generating a feature vector group based on the image sequence, feature vectors in the feature vector group being generated based on a feature information interaction result between the biological feature image and the local image blocks and a feature information interaction result between the local image blocks, and taking a feature vector corresponding to the biological feature image in the feature vector group as biological feature information of the biological feature image.
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公开(公告)号：US10817708B2
公开(公告)日：2020-10-27
申请号：US16297565
申请日：2019-03-08
Inventor： Chengjie Wang , Hui Ni , Yandan Zhao , Yabiao Wang , Shouhong Ding , Shaoxin Li , Ling Zhao , Jilin Li , Yongjian Wu , Feiyue Huang , Yicong Liang
IPC: G06K9/00
Abstract: A facial tracking method is provided. The method includes: obtaining, from a video stream, an image that currently needs to be processed as a current image frame; and obtaining coordinates of facial key points in a previous image frame and a confidence level corresponding to the previous image frame. The method also includes calculating coordinates of facial key points in the current image frame according to the coordinates of the facial key points in the previous image frame when the confidence level is higher than a preset threshold; and performing multi-face recognition on the current image frame according to the coordinates of the facial key points in the current image frame. The method also includes calculating a confidence level of the coordinates of the facial key points in the current image frame, and returning to process a next frame until recognition on all image frames is completed.
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公开(公告)号：US10395095B2
公开(公告)日：2019-08-27
申请号：US15703826
申请日：2017-09-13
Inventor： Shouhong Ding , Jilin Li , Chengjie Wang , Feiyue Huang , Yongjian Wu , Guofu Tan
Abstract: Face model matrix training method, apparatus, and storage medium are provided. The method includes: obtaining a face image library, the face image library including k groups of face images, and each group of face images including at least one face image of at least one person, k>2, and k being an integer; separately parsing each group of the k groups of face images, and calculating a first matrix and a second matrix according to parsing results, the first matrix being an intra-group covariance matrix of facial features of each group of face images, and the second matrix being an inter-group covariance matrix of facial features of the k groups of face images; and training face model matrices according to the first matrix and the second matrix.
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公开(公告)号：US12288422B2
公开(公告)日：2025-04-29
申请号：US17585205
申请日：2022-01-26
Inventor： Jia Meng , Xinyao Wang , Shouhong Ding , Jilin Li
Abstract: A method of living body detection includes generating a detection interface in response to a receipt of a living body detection request for a verification of a detection object. The detection interface includes a first region with a viewing target for the detection object to track, a position of the first region in the detection interface changes during a detection time according to a first sequence of a position change of the first region. The method also includes receiving a video stream that is captured during the detection time, determining a second sequence of a sight line change of the detection object based on the video stream, and determining that the detection object is a living body at least partially based on the second sequence of the sight line change of the detection object matching the first sequence of the position change of the first region.
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