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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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Patent Agency Ranking
公开(公告)号：US11074450B2
公开(公告)日：2021-07-27
申请号：US16726833
申请日：2019-12-25
Applicant: UBTECH ROBOTICS CORP LTD
Abstract: The present disclosure provides a picture hook identification method as well as an apparatus and a terminal device using the same. The method includes; determining geometric parameter(s) of an identification object based on image(s) collected b a camera and internal parameter(s) of the camera; comparing the geometric parameters of the identification object with geometric parameter(s) of a target picture book; and determining the identification object as the target picture book, if a difference between the geometric parameters of the identification object and the geometric parameters of the target picture book is within a preset range. In this manner, the target picture book is further filtered by matching the geometric parameters, which can reduce misidentification to improve the accuracy of identifying the picture book.
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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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公开(公告)号：US20210056295A1
公开(公告)日：2021-02-25
申请号：US16817554
申请日：2020-03-12
Applicant: UBTECH ROBOTICS CORP LTD
Inventor： Jun Cheng , Kui Guo , Jing Gu , Jianxin Pang , Youjun Xiong
Abstract: The present disclosure provides a face identification method and a terminal device using the same. The method includes: obtaining a to-be-detected image; performing a brightness enhancement process on the to-be-detected image based on a preset second calculation method to generate a to-be-identified face image; obtaining a first channel value of each channel corresponding to each pixel in the to-be-identified face image; performing another brightness enhancement process on the to-be-identified face image based on each first channel value and a preset first calculation method to obtain a target to-be-identified face image; and performing a face identification process on the target to-be-identified face image to obtain an identification result. Through the above-mentioned scheme, an enhanced face identification manner for the images of low brightness is provided.
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公开(公告)号：US11232289B2
公开(公告)日：2022-01-25
申请号：US16817554
申请日：2020-03-12
Applicant: UBTECH ROBOTICS CORP LTD
Inventor： Jun Cheng , Kui Guo , Jing Gu , Jianxin Pang , Youjun Xiong
Abstract: The present disclosure provides a face identification method and a terminal device using the same. The method includes: obtaining a to-be-detected image; performing a brightness enhancement process on the to-be-detected image based on a preset second calculation method to generate a to-be-identified face image; obtaining a first channel value of each channel corresponding to each pixel in the to-be-identified face image; performing another brightness enhancement process on the to-be-identified face image based on each first channel value and a preset first calculation method to obtain a target to-be-identified face image; and performing a face identification process on the target to-be-identified face image to obtain an identification result. Through the above-mentioned scheme, an enhanced face identification manner for the images of low brightness is provided.
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公开(公告)号：US20210124925A1
公开(公告)日：2021-04-29
申请号：US16726833
申请日：2019-12-25
Applicant: UBTECH ROBOTICS CORP LTD
Abstract: The present disclosure provides a picture hook identification method as well as an apparatus and a terminal device using the same. The method includes; determining geometric parameter(s) of an identification object based on image(s) collected b a camera and internal parameter(s) of the camera; comparing the geometric parameters of the identification object with geometric parameter(s) of a target picture book; and determining the identification object as the target picture book, if a difference between the geometric parameters of the identification object and the geometric parameters of the target picture book is within a preset range. In this manner, the target picture book is further filtered by matching the geometric parameters, which can reduce misidentification to improve the accuracy of identifying the picture book.
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