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. 23, 2021

Filed:

Mar. 01, 2019
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Umar Iqbal, San Jose, CA (US);

Pavlo Molchanov, Mountain View, CA (US);

Thomas Michael Breuel, Sparks, NV (US);

Jan Kautz, Lexington, MA (US);

Assignee:

NVIDIA Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06N 3/08 (2006.01); G06T 7/73 (2017.01); G06N 5/04 (2006.01); G06T 7/579 (2017.01);
U.S. Cl.
CPC ...
G06K 9/00355 (2013.01); G06K 9/00375 (2013.01); G06N 3/08 (2013.01); G06N 5/046 (2013.01); G06T 7/579 (2017.01); G06T 7/73 (2017.01);
Abstract

Estimating a three-dimensional (3D) pose of an object, such as a hand or body (human, animal, robot, etc.), from a 2D image is necessary for human-computer interaction. A hand pose can be represented by a set of points in 3D space, called keypoints. Two coordinates (x,y) represent spatial displacement and a third coordinate represents a depth of every point with respect to the camera. A monocular camera is used to capture an image of the 3D pose, but does not capture depth information. A neural network architecture is configured to generate a depth value for each keypoint in the captured image, even when portions of the pose are occluded, or the orientation of the object is ambiguous. Generation of the depth values enables estimation of the 3D pose of the object.


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