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. 07, 2020

Filed:

Nov. 29, 2017
Applicant:

Max-planck-gesellschaft Zur Förderung Der Wissenschaften E.v., Munich, DE;

Inventors:

Michael Black, Tuebingen, DE;

Eric Rachlin, Brooklyn, NY (US);

Evan Lee, New York, NY (US);

Nicolas Heron, New York, NY (US);

Matthew Loper, San Francisco, CA (US);

Alexander Weiss, Boston, MA (US);

David Smith, Brooklyn, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 19/00 (2011.01); G06T 7/55 (2017.01); G06T 7/73 (2017.01); G06T 15/04 (2011.01); G06T 7/246 (2017.01); G06K 9/72 (2006.01); G06K 9/00 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06T 19/006 (2013.01); G06K 9/00214 (2013.01); G06K 9/726 (2013.01); G06N 20/00 (2019.01); G06T 7/246 (2017.01); G06T 7/55 (2017.01); G06T 7/75 (2017.01); G06T 15/04 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30196 (2013.01);
Abstract

Disclosed is a method including receiving visual input comprising a human within a scene, detecting a pose associated with the human using a trained machine learning model that detects human poses to yield a first output, estimating a shape (and optionally a motion) associated with the human using a trained machine learning model associated that detects shape (and optionally motion) to yield a second output, recognizing the scene associated with the visual input using a trained convolutional neural network which determines information about the human and other objects in the scene to yield a third output, and augmenting reality within the scene by leveraging one or more of the first output, the second output, and the third output to place 2D and/or 3D graphics in the scene.


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