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公开(公告)号：US10303948B2
公开(公告)日：2019-05-28
申请号：US15694162
申请日：2017-09-01
Inventor： Guofu Tan
Abstract: The present disclosure discloses a photo processing method and an apparatus for grouping photos into photo albums based on facial recognition results. The method includes: performing face detection on multiple photos, to obtain a face image feature set, each face image feature in the face image feature set corresponding to one of the multiple photos; determining a face-level similarity for each pair of face image features in the face image feature set; determining a photo-level similarity between each pair of photos in the multiple photos in accordance with their associated face-level similarities; generating a photo set for each target photo in the multiple photos, wherein any photo-level similarity between the target photo and another photo in the photo set exceeds a predefined photo-level threshold; and generating a label for each photo set using photographing location and photographing time information associated with the photos in the photo set.
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公开(公告)号：US10607066B2
公开(公告)日：2020-03-31
申请号：US15462423
申请日：2017-03-17
Inventor： Jilin Li , Chengjie Wang , Feiyue Huang , Yongjian Wu , Hui Ni , Ruixin Zhang , Guofu Tan
Abstract: The present disclosure discloses a living body identification method, an information generation method, and a terminal, and belongs to the field of biometric feature recognition. The method includes: providing lip language prompt information, the lip language prompt information including at least two target characters, and the at least two target characters being at least one of: characters of a same lip shape, characters of opposite lip shapes, or characters whose lip shape similarity is in a preset range; collecting at least two frame pictures; detecting whether lip changes of a to-be-identified object in the at least two frame pictures meet a preset condition, when the to-be-identified object reads the at least two target characters; and determining that the to-be-identified object is a living body, if the preset condition is met. The present disclosure resolves a problem in the related technology that even if a to-be-identified object performs an operation according to lip language prompt information, a terminal may incorrectly determine that the to-be-identified object is not a living body, and achieves an effect that the terminal can accurately determine whether the to-be-identified object is a living body and improve determining accuracy.
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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：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：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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Patent Agency Ranking
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：US10586108B2
公开(公告)日：2020-03-10
申请号：US16386152
申请日：2019-04-16
Inventor： Guofu Tan
Abstract: The present disclosure discloses a photo processing method and an apparatus for grouping photos into photo albums based on facial recognition results. The method includes: performing face detection on multiple photos, to obtain a face image feature set, each face image feature in the face image feature set corresponding to one of the multiple photos; determining a face-level similarity for each pair of face image features in the face image feature set; determining a photo-level similarity between each pair of photos in the multiple photos in accordance with their associated face-level similarities; generating a photo set for each target photo in the multiple photos, wherein any photo-level similarity between the target photo and another photo in the photo set exceeds a predefined photo-level threshold; and generating a label for each photo set using photographing location and photographing time information associated with the photos in the photo set.
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公开(公告)号：US10354125B2
公开(公告)日：2019-07-16
申请号：US15713990
申请日：2017-09-25
Inventor： Guofu Tan
Abstract: Embodiments of the present invention provide a photograph processing method and system. The method includes: performing face detection on a photograph to obtain a detected human face; performing alignment on the detected human face, so as to obtain contour points of a left eye and a right eye of the detected human face; separately calculating a left eye area, being an area of the left eye, and a right eye area, being an area of the right eye, according to the contour points of the left eye and the right eye; performing stretching transformation on each pixel in the left eye area and the right eye area to generate a stretched left eye area and a stretched right eye area; and performing histogram equalization processing on the stretched left eye area and the stretched right eye area, so as to generate a processed photograph.
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公开(公告)号：US10783353B2
公开(公告)日：2020-09-22
申请号：US16666075
申请日：2019-10-28
Inventor： Guofu Tan
Abstract: A method for identifying skin region in an image includes: selecting a pixel in the target image; calculating a first probability of the pixel in a first color space, the first probability being a probability that the pixel represents skin in the first color space; calculating a second probability of the pixel in a second color space distinct from the first color space, the second probability being a probability that the pixel represents skin in the second color space; determining a combined probability that the pixel in the target image represents skin based on the first probability and the second probability; expanding the pixel into a skin region in the target image by repeating said steps of determining a combined probability that another pixel adjacent to the pixel represents skin until the skin region reaches a predefined size threshold; and performing a predefined beautifying process to the pixels.
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公开(公告)号：US10713532B2
公开(公告)日：2020-07-14
申请号：US15925028
申请日：2018-03-19
Inventor： Shouhong Ding , Jilin Li , Chengjie Wang , Feiyue Huang , Yongjian Wu , Guofu Tan
Abstract: The present disclosure discloses an image recognition method and apparatus, and belongs to the field of computer technologies. The method includes: extracting a local binary pattern (LBP) feature vector of a target image; calculating a high-dimensional feature vector of the target image according to the LBP feature vector; obtaining a training matrix, the training matrix being a matrix obtained by training images in an image library by using a joint Bayesian algorithm; and recognizing the target image according to the high-dimensional feature vector of the target image and the training matrix. The image recognition method and apparatus according to the present disclosure may combine LBP algorithm with a joint Bayesian algorithm to perform recognition, thereby improving the accuracy of image recognition.
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