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:
Aug. 16, 2022

Filed:

Nov. 15, 2019
Applicant:

Tencent Technology (Shenzhen) Company Limited, Shenzhen, CN;

Inventors:

Xiaolong Zhu, Shenzhen, CN;

Kaining Huang, Shenzhen, CN;

Jingmin Luo, Shenzhen, CN;

Lijian Mei, Shenzhen, CN;

Shenghui Huang, Shenzhen, CN;

Yongsen Zheng, Shenzhen, CN;

Yitong Wang, Shenzhen, CN;

Haozhi Huang, Shenzhen, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 20/40 (2022.01); G06K 9/62 (2022.01); G06V 40/10 (2022.01); G06V 40/20 (2022.01); G06N 3/08 (2006.01); G06N 3/02 (2006.01); G06T 7/20 (2017.01);
U.S. Cl.
CPC ...
G06V 20/40 (2022.01); G06K 9/6201 (2013.01); G06V 40/103 (2022.01); G06V 40/23 (2022.01); G06N 3/02 (2013.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06T 7/20 (2013.01); G06T 2207/30196 (2013.01); G06V 20/44 (2022.01);
Abstract

An image recognition method is provided. The method includes obtaining predicted locations of joints of a target person in a to-be-recognized image based on a joint prediction model, where the joint prediction model is pre-constructed by: obtaining a plurality of sample images; inputting training features of the sample images and a body model feature to a neural network and obtaining predicted locations of joints in the sample images outputted by the neural network; updating a body extraction parameter and an alignment parameter; and inputting the training features of the sample images and the body model feature to the neural network to obtain the joint prediction model.


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