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. 15, 2022

Filed:

Oct. 05, 2020
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Chung-Chi Tsai, San Diego, CA (US);

Sreevatsan Madhavan, San Diego, CA (US);

Shang-Chih Chuang, San Diego, CA (US);

Kuang-Jui Hsu, Hsinchu, TW;

Venkata Ravi Kiran Dayana, San Diego, CA (US);

Xiaoyun Jiang, San Diego, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/174 (2017.01); G06T 7/194 (2017.01); G06T 5/00 (2006.01); G06T 5/50 (2006.01); G06T 3/40 (2006.01); H04N 5/247 (2006.01);
U.S. Cl.
CPC ...
G06T 7/174 (2017.01); G06T 3/40 (2013.01); G06T 5/002 (2013.01); G06T 5/50 (2013.01); G06T 7/194 (2017.01); G06T 2207/10048 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20092 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/20221 (2013.01); H04N 5/247 (2013.01);
Abstract

Systems, methods, and computer-readable media are provided for foreground image segmentation. In some examples, a method can include obtaining a first image of a target and a second image of the target, the first image having a first field-of-view (FOV) and the second image having a second FOV; determining, based on the first image, a first segmentation map that identifies a first estimated foreground region in the first image; determining, based on the second image, a second segmentation map that identifies a second estimated foreground region in the second image; generating a third segmentation map based on the first segmentation map and the second segmentation map; and generating, using the second segmentation map and the third segmentation map, a refined segmentation mask that identifies the target as a foreground region of the first and/or second image.


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