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:
Feb. 11, 2020

Filed:

Dec. 14, 2018
Applicant:

Loomai, Inc., San Francisco, CA (US);

Inventors:

Ian Sachs, Larkspur, CA (US);

Kiran Bhat, San Francisco, CA (US);

Dominic Monn, Mels, CH;

Senthil Radhakrishnan, Oakland, CA (US);

Will Welch, San Francisco, CA (US);

Assignee:

LoomAi, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 13/40 (2011.01); G06T 13/20 (2011.01); G06T 15/04 (2011.01); G06T 17/20 (2006.01); G06T 19/20 (2011.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 7/73 (2017.01); G06T 7/90 (2017.01); G06T 7/246 (2017.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06F 3/00 (2006.01); G06K 9/46 (2006.01); H04N 7/15 (2006.01);
U.S. Cl.
CPC ...
G06T 13/40 (2013.01); G06F 3/005 (2013.01); G06K 9/00208 (2013.01); G06K 9/00234 (2013.01); G06K 9/00255 (2013.01); G06K 9/00281 (2013.01); G06K 9/00308 (2013.01); G06K 9/4628 (2013.01); G06K 9/6218 (2013.01); G06K 9/6273 (2013.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 7/246 (2017.01); G06T 7/248 (2017.01); G06T 7/73 (2017.01); G06T 7/90 (2017.01); G06T 13/205 (2013.01); G06T 15/04 (2013.01); G06T 17/20 (2013.01); G06T 19/20 (2013.01); H04N 7/157 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20036 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30201 (2013.01); G06T 2219/2012 (2013.01); G06T 2219/2021 (2013.01);
Abstract

System and methods for computer animations of 3D models of heads generated from images of faces is disclosed. A 2D captured image that includes an image of a face can be received and used to generate a static 3D model of a head. A rig can be fit to the static 3D model to generate an animation-ready 3D generative model. Sets of rigs can be parameters that each map to particular sounds or particular facial movement observed in a video. These mappings can be used to generate a playlists of sets of rig parameters based upon received audio or video content. The playlist may be played in synchronization with an audio rendition of the audio content. Methods can receive a captured image, identify taxonomy attributes from the captured image, select a template model for the captured image, and perform a shape solve for the selected template model based on the identified taxonomy attributes.


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