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. 21, 2022

Filed:

Apr. 21, 2020
Applicant:

Electronic Arts Inc., Redwood City, CA (US);

Inventors:

Igor Borovikov, Foster City, CA (US);

Pawel Piotr Wrotek, San Mateo, CA (US);

Mohsen Sardari, Redwood City, CA (US);

Harold Chaput, Belmont, CA (US);

Navid Aghdaie, San Jose, CA (US);

Kazi Zaman, Foster City, CA (US);

Assignee:

Electronic Arts Inc., Redwood City, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 17/00 (2006.01); G06T 17/10 (2006.01); G06K 9/62 (2022.01); A63F 13/58 (2014.01); G06N 3/08 (2006.01); G06V 40/10 (2022.01);
U.S. Cl.
CPC ...
G06T 17/10 (2013.01); A63F 13/58 (2014.09); G06K 9/6256 (2013.01); G06N 3/08 (2013.01); G06V 40/10 (2022.01); G06T 2210/22 (2013.01); G06T 2210/36 (2013.01);
Abstract

A method, computer-readable storage medium, and device for generating a character model. The method comprises: receiving an input image of a reference subject; processing the input image to generate a normalized image; identifying a set of features present in the normalized image, wherein each feature in the set of features corresponds to a portion of a head or body of the reference subject; for each feature in the set of features, processing at least a portion of the normalized image including the feature by a neural network model corresponding to the feature to generate a parameter vector corresponding to the feature; and combining the parameter vectors output by respective neural network models corresponding to respective features in the set of features to generate a parameterized character model corresponding to reference subject in the input image.


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