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:
Jan. 25, 2022

Filed:

Sep. 30, 2020
Applicants:

Huawei Technologies Co., Ltd., Shenzhen, CN;

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

Inventors:

Qiang Rao, Shenzhen, CN;

Bing Yu, Hangzhou, CN;

Bailan Feng, Beijing, CN;

Yibo Hu, Beijing, CN;

Xiang Wu, Beijing, CN;

Ran He, Beijing, CN;

Zhenan Sun, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06T 5/00 (2006.01); G06T 9/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00281 (2013.01); G06K 9/00248 (2013.01); G06K 9/00288 (2013.01); G06K 9/6256 (2013.01); G06T 5/002 (2013.01); G06T 9/00 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30201 (2013.01);
Abstract

A method and an apparatus for generating a face rotation image are provided. The method includes: performing pose encoding on an obtained face image based on two or more landmarks in the face image, to obtain pose encoded images; obtaining a plurality of training images each including a face from a training data set, wherein presented rotation angles of the faces included in the plurality of training images are the same; performing pose encoding on a target face image based on two or more landmarks in the target face image in the foregoing similar manner, to obtain pose encoded images, wherein the target face image is obtained based on the plurality of training images; generating a to-be-input signal based on the face image and the foregoing two types of pose encoded images; and inputting the to-be-input signal into an face rotation image generative model to obtain a face rotation image.


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