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. 31, 2023

Filed:

Dec. 14, 2020
Applicant:

Woven Planet North America, Inc., Los Altos, CA (US);

Inventors:

Qiangui Huang, Palo Alto, CA (US);

Meng Gao, San Francisco, CA (US);

Assignee:

WOVEN PLANET NORTH AMERICA, INC., Los Altos, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/58 (2022.01); G06K 9/62 (2022.01); G06T 17/10 (2006.01); G06T 7/73 (2017.01); G06N 3/04 (2006.01); G06T 7/50 (2017.01);
U.S. Cl.
CPC ...
G06V 20/58 (2022.01); G06K 9/6293 (2013.01); G06N 3/0454 (2013.01); G06T 7/50 (2017.01); G06T 7/74 (2017.01); G06T 17/10 (2013.01); G06T 2210/21 (2013.01);
Abstract

A method includes accessing a training sample including an image of a scene, depth measurements of the scene, and a predetermined 3D position of an object in the scene. The method includes training a 3D-detection model for detecting 3D positions of objects based the depth measurements and the predetermined 3D position, and training a 2D-detection model for detecting 2D positions of objects within images. Training the 2D-detection model includes generating an estimated 2D position of the object by processing the image using the 2D-detection model, determining a subset of the depth measurements that correspond to the object based on the estimated 2D position and a viewpoint from which the image is captured, generating an estimated 3D position of the object based on the subset of the depth measurements, and updating the 2D-detection model based on a comparison between the estimated 3D position and the predetermined 3D position.


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