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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：US12293480B2
公开(公告)日：2025-05-06
申请号：US17976259
申请日：2022-10-28
Inventor： Yandan Zhao , Shuheng Lin , Xuan Cao , Yanhao Ge , Chengjie Wang , Weijan Cao
Abstract: This application provides a method for reconstructing a three-dimensional model, a method for training a three-dimensional reconstruction model, an apparatus, a computer device, and a storage medium. The method for reconstructing a three-dimensional model includes: obtaining an image feature coefficient of an input image; respectively obtaining, according to the image feature coefficient, a global feature map and an initial local feature map based on a texture and a shape of the input image; performing edge smoothing on the initial local feature map, to obtain a target local feature map; respectively splicing the global feature map and the target local feature map based on the texture and the shape, to obtain a target texture image and a target shape image; and performing three-dimensional model reconstruction according to the target texture image and the target shape image, to obtain a target three-dimensional model.
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公开(公告)号：US20190138791A1
公开(公告)日：2019-05-09
申请号：US16222941
申请日：2018-12-17
Inventor： Chengjie WANG , Jilin Li , Yandan Zhao , Hui Ni , Yabiao Wang , Ling Zhao
Abstract: When a target image is captured, the device provides a portion of the target image within a target detection region to a preset first model set to calculate positions of face key points and a first confidence value. The face key points and the first confidence value are output by the first model set for a single input of the portion of the first target image into the first model set. When the first confidence value meets a first threshold corresponding to whether the target image is a face image, the device obtains a second target image corresponding to the positions of the first face key points; the device inputs the second target image into the first model set to calculate a second confidence value, the second confidence value corresponds to accuracy key point positioning, and outputs the first key points if the second confidence value meets a second threshold.
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公开(公告)号：US11961242B2
公开(公告)日：2024-04-16
申请号：US17033675
申请日：2020-09-25
Inventor： Yandan Zhao , Chengjie Wang , Weijian Cao , Yun Cao , Pan Cheng , Yuan Huang
CPC classification number: G06T7/246 , G06N20/00 , G06T7/20 , G06V10/25 , G06V10/40 , G06V10/764 , G06V20/52 , G06T2207/20076 , G06T2207/20081
Abstract: A target tracking method is provided for a computer device. The method includes determining a target candidate region of a current image frame; capturing a target candidate image matching the target candidate region from the current image frame; determining a target region of the current image frame according to an image feature of the target candidate image; determining motion prediction data of a next image frame relative to the current image frame by using a motion prediction model and according to the image feature of the target candidate image; and determining a target candidate region of the next image frame according to the target region and the motion prediction data.
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Patent Agency Ranking
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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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：US20240404018A1
公开(公告)日：2024-12-05
申请号：US18800385
申请日：2024-08-12
Inventor： Wenhui HAN , Yandan Zhao , Ying Tai , Donghao Luo , Chengjie Wang
IPC: G06T5/60 , G06T5/77 , G06T7/00 , G06V10/774 , G06V10/776 , G06V10/82 , G06V40/16
Abstract: An image processing method, performed by a computer device, includes: obtaining an input image to be processed; performing face detection on the input image to obtain an input face image to be processed including at least one defect element relating to a skin element; and inputting the input face image into an image processing model to obtain a target face image corresponding to the input face image without a first defect element amongst the at least one defect element, wherein a training sample of the image processing model includes a first face image with a first face distortion degree less than a preset threshold and that is annotated with the first defect element.
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公开(公告)号：US11200404B2
公开(公告)日：2021-12-14
申请号：US17089435
申请日：2020-11-04
Inventor： Yandan Zhao , Yichao Yan , Weijian Cao , Yun Cao , Yanhao Ge , Chengjie Wang , Jilin Li
Abstract: This application relates to feature point positioning technologies. The technologies involve positioning a target area in a current image; determining an image feature difference between a target area in a reference image and the target area in the current image, the reference image being a frame of image that is processed before the current image and that includes the target area; determining a target figure point location of the target area in the reference image; determining a target feature point location difference between the target area in the reference image and the target area in the current image according to a feature point location difference determining model and the image feature difference; and positioning a target feature point in the target area in the current image according to the target feature point location of the target area in the reference image and the target feature point location difference.
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公开(公告)号：US10990803B2
公开(公告)日：2021-04-27
申请号：US16222941
申请日：2018-12-17
Inventor： Chengjie Wang , Jilin Li , Yandan Zhao , Hui Ni , Yabiao Wang , Ling Zhao
Abstract: When a target image is captured, the device provides a portion of the target image within a target detection region to a preset first model set to calculate positions of face key points and a first confidence value. The face key points and the first confidence value are output by the first model set for a single input of the portion of the first target image into the first model set. When the first confidence value meets a first threshold corresponding to whether the target image is a face image, the device obtains a second target image corresponding to the positions of the first face key points; the device inputs the second target image into the first model set to calculate a second confidence value, the second confidence value corresponds to accuracy key point positioning, and outputs the first key points if the second confidence value meets a second threshold.
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