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. 30, 2024

Filed:

Oct. 17, 2019
Applicant:

Tahoe Research, Ltd., Dublin, IE;

Inventors:

Minje Park, Seoul, KR;

Tae-Hoon Kim, Seoul, KR;

Myung-Ho Ju, Seoul, KR;

Jihyeon Yi, Yongin-si, KR;

Xiaolu Shen, Beijing, CN;

Lidan Zhang, Beijing, CN;

Qiang Li, Beijing, CN;

Assignee:

Tahoe Research, Ltd., Dublin, IE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 13/40 (2011.01); G06T 7/73 (2017.01); G06T 17/20 (2006.01);
U.S. Cl.
CPC ...
G06T 13/40 (2013.01); G06T 7/73 (2017.01); G06T 17/20 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30201 (2013.01); G06T 2210/44 (2013.01);
Abstract

Avatar animation systems disclosed herein provide high quality, real-time avatar animation that is based on the varying countenance of a human face. In some example embodiments, the real-time provision of high quality avatar animation is enabled, at least in part, by a multi-frame regressor that is configured to map information descriptive of facial expressions depicted in two or more images to information descriptive of a single avatar blend shape. The two or more images may be temporally sequential images. This multi-frame regressor implements a machine learning component that generates the high quality avatar animation from information descriptive of a subject's face and/or information descriptive of avatar animation frames previously generated by the multi-frame regressor. The machine learning component may be trained using a set of training images that depict human facial expressions and avatar animation authored by professional animators to reflect facial expressions depicted in the set of training images.


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