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:
Jun. 01, 2021

Filed:

Jul. 25, 2018
Applicant:

Arcsoft Corporation Limited, Hangzhou, CN;

Inventors:

Han Qiu, Hangzhou, CN;

Fang Deng, Nanjing, CN;

Kangning Song, Hangzhou, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/593 (2017.01); G06T 7/30 (2017.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06K 9/46 (2006.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
G06K 9/00302 (2013.01); G06K 9/00201 (2013.01); G06K 9/00208 (2013.01); G06K 9/00234 (2013.01); G06K 9/00248 (2013.01); G06K 9/00281 (2013.01); G06K 9/00288 (2013.01); G06K 9/00308 (2013.01); G06K 9/4652 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 3/082 (2013.01); G06N 20/10 (2019.01); G06T 7/30 (2017.01); G06T 7/593 (2017.01); G06T 2207/10012 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30201 (2013.01);
Abstract

The present disclosure provides a method and apparatus for expression recognition, which is applied to the field of image processing. The method includes acquiring a three-dimensional image of a target face and a two-dimensional image of the target face, where the three-dimensional image includes first depth information of the target face and first color information of the target face, and the two-dimensional image includes second color information of the target face. A first neural network classifies an expression of the target face according to the first depth information, the first color information, the second color information, and a first parameter to the target face. The first parameter includes at least one facial expression category and first parameter data for identifying an expression category of the target facial. The disclosed method and device can accurately recognize facial expressions under different facial positions and different illumination conditions.


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