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公开(公告)号：US20210200990A1
公开(公告)日：2021-07-01
申请号：US17134467
申请日：2020-12-27
Applicant: UBTECH ROBOTICS CORP LTD
Inventor： Yusheng Zeng , Jianxin Pang , Youjun Xiong
Abstract: The present disclosure provides a method for extracting a face detection image, wherein the method includes: obtaining a plurality of image frames by an image detector, performing a face detection process on each image frame to extract a face area, performing a clarity analysis on the face area of each image frame to obtain a clarity degree of a face, conducting a posture analysis on the face area of each image frame to obtain a face posture angle, generating a comprehensive evaluation index for each image frame in accordance with the clarity degree of the face and the face posture angle of each image frame, and selecting a key frame from the image frames based on the comprehensive evaluation index. Such that the resource occupancy rate during image data processing may be reduced, and the quality of the face detection process may be improved.
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公开(公告)号：US11875599B2
公开(公告)日：2024-01-16
申请号：US17393408
申请日：2021-08-04
Applicant: UBTECH ROBOTICS CORP LTD
Inventor： Yusheng Zeng , Yepeng Liu , Jun Cheng , Jianxin Pang , Jing Gu
IPC: G06V40/16 , G06V10/46 , G06V10/98 , G06N3/08 , G06F18/214 , G06F18/2431 , G06N3/045
CPC classification number: G06V40/161 , G06F18/214 , G06F18/2431 , G06N3/045 , G06N3/08 , G06V10/462 , G06V10/993
Abstract: A method for detecting blurriness of a human face in an image includes: performing a face detection in a target image; when a human face is detected in the target image, cropping the human face from the target image to obtain a face image and inputting the face image to a first neural network model to perform preliminary detection on a blurriness of the human face in the face image to obtain a preliminary detection result; and when the preliminary detection result meets a deep detection condition, inputting the face image to a second neural network model to perform deep detection on the blurriness of the human face in the face image to obtain a deep detection result.
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公开(公告)号：US20220068109A1
公开(公告)日：2022-03-03
申请号：US17138944
申请日：2020-12-31
Applicant: UBTECH ROBOTICS CORP LTD
Inventor： Yusheng Zeng , Yepeng Liu , Jun Cheng , Jianxin Pang , Youjun Xiong
Abstract: A mask wearing status alarming method, a mobile device, and a computer readable storage medium are provided. The method includes: performing a face detection on an image to determine face areas each including a target determined as a face; determining a mask wearing status of the target in each face area; confirming the mask wearing status of the target in each face area using a trained face confirmation model to remove the face areas comprising the target being mistakenly determined as the face and determining a face pose in each of the remaining face areas to remove the face areas with the face pose not meeting a preset condition, in response to determining the mask wearing status as a not-masked-well status or a unmasked status; and releasing an alert corresponding to the mask wearing status of the target in each of the remaining face areas.
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公开(公告)号：US11727784B2
公开(公告)日：2023-08-15
申请号：US17138944
申请日：2020-12-31
Applicant: UBTECH ROBOTICS CORP LTD
Inventor： Yusheng Zeng , Yepeng Liu , Jun Cheng , Jianxin Pang , Youjun Xiong
CPC classification number: G08B21/18 , G06T7/70 , G06V40/165 , G06T2207/30201
Abstract: A mask wearing status alarming method, a mobile device, and a computer readable storage medium are provided. The method includes: performing a face detection on an image to determine face areas each including a target determined as a face; determining a mask wearing status of the target in each face area; confirming the mask wearing status of the target in each face area using a trained face confirmation model to remove the face areas comprising the target being mistakenly determined as the face and determining a face pose in each of the remaining face areas to remove the face areas with the face pose not meeting a preset condition, in response to determining the mask wearing status as a not-masked-well status or a unmasked status; and releasing an alert corresponding to the mask wearing status of the target in each of the remaining face areas.
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公开(公告)号：US11475707B2
公开(公告)日：2022-10-18
申请号：US17134467
申请日：2020-12-27
Applicant: UBTECH ROBOTICS CORP LTD
Inventor： Yusheng Zeng , Jianxin Pang , Youjun Xiong
Abstract: The present disclosure provides a method for extracting a face detection image, wherein the method includes: obtaining a plurality of image frames by an image detector, performing a face detection process on each image frame to extract a face area, performing a clarity analysis on the face area of each image frame to obtain a clarity degree of a face, conducting a posture analysis on the face area of each image frame to obtain a face posture angle, generating a comprehensive evaluation index for each image frame in accordance with the clarity degree of the face and the face posture angle of each image frame, and selecting a key frame from the image frames based on the comprehensive evaluation index. Such that the resource occupancy rate during image data processing may be reduced, and the quality of the face detection process may be improved.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20220207913A1
公开(公告)日：2022-06-30
申请号：US17562963
申请日：2021-12-27
Applicant: UBTECH ROBOTICS CORP LTD
Inventor： Yusheng Zeng , Jun Cheng , Jianxin Pang
Abstract: A method for training a multi-task recognition model includes: obtaining a number of sample images, wherein some of the sample images are to provide feature-independent facial attributes, some of the sample images are to provide feature-coupled facial attributes, and some of the sample images are to provide facial attributes of face poses; training an initial feature-sharing model based on a first set of sample images to obtain a first feature-sharing model; training the first feature-sharing model based on the first set of sample images and a second set of sample images to obtain a second feature-sharing model with a loss value less than a preset second threshold; obtaining an initial multi-task recognition model by adding a feature decoupling model to the second feature-sharing model; and training the initial multi-task recognition model based on the sample images to obtain a trained multi-task recognition model.
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公开(公告)号：US11373443B2
公开(公告)日：2022-06-28
申请号：US17105667
申请日：2020-11-27
Applicant: UBTECH ROBOTICS CORP LTD
Inventor： Yue Wang , Jun Cheng , Yepeng Liu , Yusheng Zeng , Jianxin Pang , Youjun Xiong
Abstract: The present disclosure provides a method and an apparatus for face recognition and a computer readable storage medium. The method includes: inputting a to-be-recognized blurry face image into a generator of a trained generative adversarial network to obtain a to-be-recognized clear face image; inputting the to-be-recognized clear face image to the feature extraction network to obtain a facial feature of the to-be-recognized clear face image; matching the facial feature of the to-be-recognized clear face image with each user facial feature in a preset facial feature database to determine the user facial feature best matching the to-be-recognized clear face image as a target user facial feature; and determining a user associated with the target user facial feature as a recognition result. Through this solution, the accuracy of the recognition of blurry faces can be improved.
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8.发明授权公开(公告)号：US12080098B2
公开(公告)日：2024-09-03
申请号：US17562963
申请日：2021-12-27
Applicant: UBTECH ROBOTICS CORP LTD
Inventor： Yusheng Zeng , Jun Cheng , Jianxin Pang
CPC classification number: G06V40/171 , G06T7/73 , G06V40/166
Abstract: A method for training a multi-task recognition model includes: obtaining a number of sample images, wherein some of the sample images are to provide feature-independent facial attributes, some of the sample images are to provide feature-coupled facial attributes, and some of the sample images are to provide facial attributes of face poses; training an initial feature-sharing model based on a first set of sample images to obtain a first feature-sharing model; training the first feature-sharing model based on the first set of sample images and a second set of sample images to obtain a second feature-sharing model with a loss value less than a preset second threshold; obtaining an initial multi-task recognition model by adding a feature decoupling model to the second feature-sharing model; and training the initial multi-task recognition model based on the sample images to obtain a trained multi-task recognition model.
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公开(公告)号：US11941844B2
公开(公告)日：2024-03-26
申请号：US17403902
申请日：2021-08-17
Applicant: UBTECH ROBOTICS CORP LTD
Inventor： Yepeng Liu , Yusheng Zeng , Jun Cheng , Jing Gu , Yue Wang , Jianxin Pang
CPC classification number: G06T7/74 , G06N3/04 , G06T7/75 , G06V40/164 , G06T2207/20081 , G06T2207/20084 , G06T2207/30201
Abstract: An object detection model generation method as well as an electronic device and a computer readable storage medium using the same are provided. The method includes: during the iterative training of the to-be-trained object detection model, the detection accuracy of the iteration nodes of the object detection model is sequentially determined according to the node order, and the mis-detected negative samples of the object detection model at the iteration nodes with the detection accuracy less than or equal to a preset threshold are enhanced. Then the object detection model is trained at the iteration node based on the enhanced negative samples and a first amount of preset training samples. After the training at the iteration nodes are completed, it returns to the step of sequentially determining the detection accuracy of the iteration nodes of the object detection model until the training of the object detection model is completed.
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10.发明授权公开(公告)号：US11126824B2
公开(公告)日：2021-09-21
申请号：US16805827
申请日：2020-03-01
Applicant: UBTECH ROBOTICS CORP LTD
Inventor： Yusheng Zeng , Jianxin Pang , Youjun Xiong
Abstract: The present disclosure provides a face image quality evaluating method as well as an apparatus and a computer-readable storage medium using the same. The method includes: obtaining a face image; determining a local bright area in the face image, wherein the local bright area is formed by an illumination source in the face image, and the brightness of the local bright area is greater than the brightness of a face area in the face image; removing the local bright area from the face image; and evaluating a quality of the face image based on the face image having removed the local bright area. In the above-mentioned manner, the present disclosure improves the accuracy of the quality evaluation of the face image.
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