The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 21, 2022
Filed:
Jun. 24, 2020
Beijing Boe Optoelectronics Technology Co., Ltd., Beijing, CN;
Boe Technology Group Co., Ltd., Beijing, CN;
Yaoyu Lv, Beijing, CN;
Lili Chen, Beijing, CN;
Hao Zhang, Beijing, CN;
Fuqiang Ma, Beijing, CN;
Jiankang Sun, Beijing, CN;
Shuo Zhang, Beijing, CN;
Gang Li, Beijing, CN;
Yachong Xue, Beijing, CN;
Xiangjun Peng, Beijing, CN;
Chenxi Zhao, Beijing, CN;
Beijing BOE Optoelectronics Technology Co., Ltd., Beijing, CN;
BOE Technology Group Co., Ltd., Beijing, CN;
Abstract
An image segmentation method, an image segmentation apparatus, an image segmentation device are provided, the image segmentation method including: extracting, from a current frame of a video image, a skeleton two-dimensional estimation and a skeleton three-dimensional estimation of a human three-dimensional skeleton; obtaining a target three-dimensional skeleton based on the skeleton two-dimensional estimation and the skeleton three-dimensional estimation; implementing image segmentation based on the target three-dimensional skeleton; wherein the human three-dimensional skeleton has multiple nodes, and the video image is a two-dimensional image, when calculating the target three-dimensional skeleton in the current frame, by comprehensively considering the skeleton two-dimensional estimation and skeleton three-dimensional skeleton estimation of the human three-dimensional skeleton in the current frame, the accuracy and robustness of the obtained target three-dimensional skeleton can be improved, thereby improving the accuracy of image segmentation.