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公开(公告)号：US10992666B2
公开(公告)日：2021-04-27
申请号：US16542213
申请日：2019-08-15
Inventor： Feiyue Huang , Jilin Li , Guofu Tan , Xiaoli Jiang , Dan Wu , Junwu Chen , Jianguo Xie , Wei Guo , Yihui Liu , Jiandong Xie
Abstract: An identity verification method performed at a terminal includes playing in an audio form action guide information including mouth shape guide information selected from a preset action guide information library at a speed corresponding to the action guide information, and collecting a corresponding set of action images within a preset time window; performing matching detection on the collected set of action images and the action guide information, to obtain a living body detection result indicating whether a living body exists in the collected set of action images; according to the living body detection result that indicates that a living body exists in the collected set of action images: collecting user identity information and performing verification according to the collected user identity information, to obtain a user identity information verification result; and determining the identity verification result according to the user identity information verification result.
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公开(公告)号：US10796179B2
公开(公告)日：2020-10-06
申请号：US16024117
申请日：2018-06-29
Inventor： Guanbo Bao , Jilin Li
Abstract: The present application discloses a live human face verification method and device. The device acquires face images captured by at least two cameras and performs feature point registration on the face images according to preset face feature points, to obtain corresponding feature point combinations between the face images. After fitting out a homography transformation matrix among the feature point combinations, the device calculates transformation errors of the feature point combinations using the homography transformation matrix to obtain an error calculation result, and performing live human face verification of the face images according to the error calculation result. The embodiments of the present application do not need to calibrate the cameras, so the amount of calculation of a living body judgment algorithm can be reduced; moreover, the cameras can be freely placed, and thereby the flexibility and convenience of living body judgment can be increased.
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Patent Agency Ranking
公开(公告)号：US10664580B2
公开(公告)日：2020-05-26
申请号：US16100630
申请日：2018-08-10
Inventor： Feiyue Huang , Yongjian Wu , Guofu Tan , Jilin Li , Zhibo Chen , Xiaoqing Liang , Zhiwei Tao , Kejing Zhou , Ke Mei
Abstract: A sign-in method and server based on facial recognition are provided. The method includes: receiving a face image of a sign-in user from a sign-in terminal. According to the face image of the sign-in user, whether a target registration user matching the sign-in user exists in a pre-stored registration set is detected. The registration set includes a face image of at least one registration user. Further, the target registration user is confirmed as signed in successfully if the target registration user exists in the registration set.
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44.发明授权公开(公告)号：US10650259B2
公开(公告)日：2020-05-12
申请号：US15644043
申请日：2017-07-07
Inventor： Chengjie Wang , Jilin Li , Hui Ni , Yongjian Wu , Feiyue Huang
Abstract: The embodiment of the present invention provides a human face recognition method and recognition system. The method includes that: a human face recognition request is acquired, and a statement is randomly generated according to the human face recognition request; audio data and video data returned by a user in response to the statement are acquired; corresponding voice information is acquired according to the audio data; corresponding lip movement information is acquired according to the video data; and when the lip movement information and the voice information satisfy a preset rule, the human face recognition request is permitted. By performing fit goodness matching between the lip movement information and voice information in a video for dynamic human face recognition, an attack by human face recognition with a real photo may be effectively avoided, and higher security is achieved.
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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：US10331940B2
公开(公告)日：2019-06-25
申请号：US15671041
申请日：2017-08-07
Inventor： Chengjie Wang , Jilin Li , Feiyue Huang , Kekai Sheng , Weiming Dong
IPC: G06K9/00
Abstract: Disclosed are an evaluation method and an evaluation device for a facial key point positioning result. In some embodiments, the evaluation method includes: acquiring a facial image and one or more positioning result coordinates of a key point of the facial image; performing a normalization process on the positioning result coordinate and an average facial model to obtain a normalized facial image; and extracting a facial feature value of the normalized facial image and calculating an evaluation result based on the facial feature value and a weight vector.
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公开(公告)号：US10068128B2
公开(公告)日：2018-09-04
申请号：US15438371
申请日：2017-02-21
Inventor： Chengjie Wang , Jilin Li , Feiyue Huang , Yongjian Wu
Abstract: The present disclosure pertains to the field of image processing technologies and discloses a face key point positioning method and a terminal. The method includes: obtaining a face image; recognizing a face frame in the face image; determining positions of n key points of a target face in the face frame according to the face frame and a first positioning algorithm; performing screening to select, from candidate faces, a similar face whose positions of corresponding key points match the positions of the n key points of the target face; and determining positions of m key points of the similar face selected through screening according to a second positioning algorithm, m being a positive integer. In this way, the problem that positions of key points obtained by a terminal have relatively great deviations in the related technologies is resolved, thereby achieving an effect of improving accuracy of positioned positions of the key points.
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