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. 28, 2022

Filed:

Feb. 03, 2020
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Hung-Yu Tseng, Merced, CA (US);

Shalini De Mello, San Francisco, CA (US);

Jonathan Tremblay, Redmond, WA (US);

Sifei Liu, Santa Clara, CA (US);

Jan Kautz, Lexington, MA (US);

Stanley Thomas Birchfield, Sammamish, WA (US);

Assignee:

NVIDIA CORPORATION, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 13/282 (2018.01); H04N 13/268 (2018.01); G06K 9/62 (2022.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
H04N 13/282 (2018.05); G06K 9/6256 (2013.01); G06N 3/08 (2013.01); H04N 13/268 (2018.05);
Abstract

When an image is projected from 3D, the viewpoint of objects in the image, relative to the camera, must be determined. Since the image itself will not have sufficient information to determine the viewpoint of the various objects in the image, techniques to estimate the viewpoint must be employed. To date, neural networks have been used to infer such viewpoint estimates on an object category basis, but must first be trained with numerous examples that have been manually created. The present disclosure provides a neural network that is trained to learn, from just a few example images, a unique viewpoint estimation network capable of inferring viewpoint estimations for a new object category.


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