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. 14, 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 7/73 (2017.01); G06T 13/80 (2011.01); G06T 7/60 (2017.01); G06K 9/62 (2022.01); G06T 13/40 (2011.01); G06V 20/40 (2022.01); G06V 40/10 (2022.01);
U.S. Cl.
CPC ...
G06T 7/73 (2017.01); G06K 9/623 (2013.01); G06T 7/60 (2013.01); G06T 13/40 (2013.01); G06T 13/80 (2013.01); G06V 20/40 (2022.01); G06V 40/107 (2022.01); G06T 2200/24 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30196 (2013.01); G06T 2207/30242 (2013.01);
Abstract

This disclosure generally relates to character animation. More specifically, 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 extracting sets of joint positions from a training video including the subject, grouping the plurality of frames into frame groups using the sets of joint positions for each frame, identifying a representative frame for each frame group using the frame groups, clustering the frame groups into clusters using the representative frames, outputting a visualization of the clusters at a user interface, and receiving a selection of a cluster for animation of the subject.


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