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:
Mar. 10, 2026

Filed:

Feb. 16, 2024
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Chinmay Talegaonkar, La Jolla, CA (US);

Peng Liu, San Diego, CA (US);

Lei Wang, San Diego, CA (US);

Junkang Zhang, San Diego, CA (US);

Ning Bi, San Diego, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 17/00 (2006.01); G06T 3/18 (2024.01); G06T 7/73 (2017.01);
U.S. Cl.
CPC ...
G06T 17/00 (2013.01); G06T 3/18 (2024.01); G06T 7/75 (2017.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01);
Abstract

Systems and techniques are disclosed for generating a three-dimensional (3D) model. For example, a process can include estimating a plurality of features associated with at least a portion of images; inverse warping the plurality of features into reference pose features having a reference pose; generating filtered reference pose features by selecting features from the reference pose features based on a distance of the selected features from corresponding features from the reference pose; generating modified reference pose features by modifying the filtered reference pose features based on a feature grid associated with a reference model associated with the reference pose; projecting the filtered reference pose features into one or more two dimensional (2D) planes; identifying first features associated with the person from the one or more 2D planes; and generating a 3D model of the person having a pose using the first features, the modified reference pose features, and pose information.


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