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:
Mar. 22, 2022

Filed:

Nov. 22, 2019
Applicants:

Adobe Inc., San Jose, CA (US);

Princeton University, Princeton, NJ (US);

Inventors:

Wilmot Li, Seattle, WA (US);

Hijung Shin, Cambridge, MA (US);

Adam Finkelstein, Princeton, NJ (US);

Nora Willett, Princeton, NJ (US);

Assignees:

Adobe Inc., San Jose, CA (US);

Princeton University, Princeton, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 13/00 (2011.01); G06T 13/80 (2011.01); G06T 7/73 (2017.01); G06T 7/20 (2017.01); G06T 13/40 (2011.01);
U.S. Cl.
CPC ...
G06T 13/80 (2013.01); G06T 7/20 (2013.01); G06T 7/74 (2017.01); G06T 13/40 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30196 (2013.01);
Abstract

This disclosure generally relates to character animation. More specifically, but not by way of limitation, this disclosure relates to pose selection using data analytics techniques applied to training data, and generating 2D animations of illustrated characters using performance data and the selected poses. An example process or system includes obtaining a selection of training poses of the subject and a set of character poses, obtaining a performance video of the subject, wherein the performance video includes a plurality of performance frames that include poses performed by the subject, grouping the plurality of performance frames into groups of performance frames, assigning a selected training pose from the selection of training poses to each group of performance frames using the clusters of training frames, generating a sequence of character poses based on the groups of performance frames and their assigned training poses, outputting the sequence of character poses.


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