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:
Sep. 06, 2022

Filed:

Oct. 22, 2019
Applicant:

Institute of Automation, Chinese Academy of Sciences, Beijing, CN;

Inventors:

Zhenan Sun, Beijing, CN;

Hongwen Zhang, Beijing, CN;

Wanli Ouyang, Beijing, CN;

Jie Cao, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/55 (2017.01); G06T 17/10 (2006.01);
U.S. Cl.
CPC ...
G06T 7/55 (2017.01); G06T 17/10 (2013.01); G06T 2207/10004 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01);
Abstract

A reconstruction method of a three-dimensional (3D) human body model includes: acquiring, by a fully convolutional network (FCN) module, a global UVI map and a local UVI map of a body part according to a human body image (S); estimating, by a first neural network, a camera parameter and a shape parameter of the human body model based on the global UVI map (S); extracting, by a second neural network, rotation features of joints of a human body based on the local UVI map (S); refining, by using a position-aided feature refinement strategy, the rotation features of the joints of the human body to acquire refined rotation features (S); and estimating, by a third neural network, a pose parameter of the human body model based on the refined rotation features (S). The reconstruction method achieves accurate and efficient reconstruction of the human body model, and improves robustness of pose estimation.


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