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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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12.发明授权公开(公告)号：US11710335B2
公开(公告)日：2023-07-25
申请号：US17504682
申请日：2021-10-19
Inventor： Keke He , Jing Liu , Yanhao Ge , Chengjie Wang , Jilin Li
CPC classification number: G06V40/103 , G06F18/217 , G06F18/25 , G06V10/40 , G06V10/98
Abstract: The present disclosure describes human body attribute recognition methods and apparatus, electronic devices, and a storage medium. The method includes acquiring a sample image containing a plurality of to-be-detected areas being labeled with true values of human body attributes; generating, through a recognition model, a heat map of the sample image and heat maps of the to-be-detected areas to obtain a global heat map and local heat maps; fusing the global and the local heat maps to obtain a fused image, and performing human body attribute recognition on the fused image to obtain predicted values; determining a focus area of each type of human body attribute according to the global and the local heat maps; correcting the recognition model by using the focus area, the true values, and the predicted values; and performing, based on the corrected recognition model, human body attribute recognition on a to-be-recognized image.
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公开(公告)号：US20230087489A1
公开(公告)日：2023-03-23
申请号：US17989109
申请日：2022-11-17
Inventor： Yunlong FENG , Xu Chen , Ying Tai , Chengjie Wang , Jilin Li
Abstract: An image processing method and apparatus are provided. During image matting on an original image, a plurality of segmented images including different regions are first obtained through semantic segmentation. Further, according to the segmented images, lines of different widths are drawn on a contour line of a foreground region to obtain a target trimap. Finally, a target image is generated based on the target trimap. For the target trimap, because lines of different widths are drawn on the contour line of the foreground region, pertinent image matting may be implemented for different regions, so that image matting precision may be improved for a region requiring fine image matting, and image matting precision of another region can also be ensured. In this way, a final image obtained through image matting is fine and natural.
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公开(公告)号：US11443462B2
公开(公告)日：2022-09-13
申请号：US16988121
申请日：2020-08-07
Inventor： Yanhao Ge , Xueyuan Xing , Bin Fu , Yirong Zeng , Pengcheng Shen , Chengjie Wang
Abstract: In a method for generating a cartoon face image that is performed by a computing device, a to-be-processed face image is obtained. Face feature information is recognized from the to-be-processed face image, and cartoon materials corresponding to feature parts of a face in the to-be-processed face image are obtained according to the face feature information. The obtained cartoon materials are cartoon face materials. The cartoon face materials include cartoon facial feature materials and another cartoon material other than the cartoon facial feature materials. Each of the cartoon facial feature materials are adjusted by using an adjustment parameter, and the other cartoon material are combined with the cartoon facial feature materials after adjustment to generate the cartoon face image.
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公开(公告)号：US11087476B2
公开(公告)日：2021-08-10
申请号：US16890087
申请日：2020-06-02
Inventor： Changwei He , Chengjie Wang , Jilin Li , Yabiao Wang , Yandan Zhao , Yanhao Ge , Hui Ni , Yichao Xiong , Zhenye Gan , Yongjian Wu , Feiyue Huang
Abstract: A trajectory tracking method is provided for a computer device. The method includes performing motion tracking on head images in a plurality of video frames, to obtain motion trajectories corresponding to the head images; acquiring face images corresponding to the head images in the video frames, to obtain face image sets corresponding to the head images; determining from the face image sets corresponding to the head images, at least two face image sets having same face images; and combining motion trajectories corresponding to the at least two face image sets having same face images, to obtain a final motion trajectory of trajectory tracking.
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Patent Agency Ranking
公开(公告)号：US10909356B2
公开(公告)日：2021-02-02
申请号：US16356924
申请日：2019-03-18
Inventor： Yicong Liang , Chengjie Wang , Shaoxin Li , Yandan Zhao , Jilin Li
Abstract: A facial tracking method can include receiving a first vector of a first frame, and second vectors of second frames that are prior to the first frame in a video. The first vector is formed by coordinates of first facial feature points in the first frame and determined based on a facial registration method. Each second vector is formed by coordinates of second facial feature points in the respective second frame and previously determined based on the facial tracking method. A second vector of the first frame is determined according to a fitting function based on the second vectors of the first set of second frames. The fitting function has a set of coefficients that are determined by solving a problem of minimizing a function formulated based on a difference between the second vector and the first vector of the current frame, and a square sum of the coefficients.
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公开(公告)号：US10706263B2
公开(公告)日：2020-07-07
申请号：US16409341
申请日：2019-05-10
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：US10452893B2
公开(公告)日：2019-10-22
申请号：US15715398
申请日：2017-09-26
Inventor： Chengjie Wang
IPC: G06K9/00
Abstract: Method, terminal, and storage medium for tracking facial critical area are provided. The method includes accessing a frame of image in a video file; obtaining coordinate frame data of a facial part in the image; determining initial coordinate frame data of a critical area in the facial part according to the coordinate frame data of the facial part; obtaining coordinate frame data of the critical area according to the initial coordinate frame data of the critical area in the facial part; accessing an adjacent next frame of image in the video file; obtaining initial coordinate frame data of the critical area in the facial part for the adjacent next frame of image by using the coordinate frame data of the critical area in the frame; and obtaining coordinate frame data of the critical area for the adjacent next frame of image according to the initial coordinate frame data thereof.
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公开(公告)号：US10360441B2
公开(公告)日：2019-07-23
申请号：US15680976
申请日：2017-08-18
Inventor： Hui Ni , Chengjie Wang
Abstract: Embodiments of the present disclosure provide an image processing method and apparatus. The method includes detecting a human face region in each frame of an image in a to-be-processed video; locating a lip region in the human face region; extracting feature column pixels in the lip region from each frame of the image; building a lip change graph based on the feature column pixels; and recognizing a lip movement according to a pattern feature of the lip change graph.
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20.发明授权公开(公告)号：US12299963B2
公开(公告)日：2025-05-13
申请号：US18051323
申请日：2022-10-31
Inventor： Keke He , Junwei Zhu , Hui Ni , Yun Cao , Xu Chen , Ying Tai , Chengjie Wang , Jilin Li , Feiyue Huang
IPC: G06V10/00 , G06V10/75 , G06V10/774 , G06V10/776 , G06V10/82 , G06V40/16
Abstract: An image processing method includes performing additional image feature extraction on a training source face image to obtain a source additional image feature, performing identity feature extraction on the training source face image to obtain a source identity feature, inputting a training template face image into an encoder in a to-be-trained face swapping model to obtain a face attribute feature, inputting the source additional image feature, the source identity feature, and the face attribute feature into a decoder in the face swapping model for decoding to obtain a decoded face image, obtaining a target model loss value based on an additional image difference between the decoded face image and a comparative face image, and adjusting the model parameters of the encoder and the decoder based on the target model loss value to obtain the trained face swapping model.
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