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.

Date of Patent:
Jul. 05, 2022

Filed:

Aug. 25, 2020
Applicant:

Sony Corporation, Tokyo, JP;

Inventor:

Tamaki Kojima, Sunnyvale, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/73 (2017.01); G06T 7/60 (2017.01); G06V 40/10 (2022.01);
U.S. Cl.
CPC ...
G06V 40/10 (2022.01); G06T 7/60 (2013.01); G06T 7/73 (2017.01); G06T 2207/10016 (2013.01); G06T 2207/30196 (2013.01);
Abstract

Recent progress of neural networks has shown significant progress over human pose estimation tasks. Pose estimation could be categorized into monocular 2D pose estimation, multi-view 3D pose estimation, and single view 3D pose estimation, where recently 3D pose is getting more attention to be applied to AR/VR, game and human computer interaction applications. However, current academic benchmarks on human 3D pose estimation only respect performance on their relative pose. The root positioning over the time, in another word, the 'trajectory' of the whole body in 3D space is not considered well enough. Applications such as motion capture, not only require precise relative pose of the body but also the root position of the whole body in 3D space. Therefore, an efficient monocular full 3D pose recovery model from 2D pose input is described herein, which is able to be applied to the above applications.


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