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:
Nov. 17, 2020

Filed:

Nov. 17, 2017
Applicants:

Xinting Gao, Singapore, SG;

Wenshou Chen, Shanghai, CN;

Shan Xu, Singapore, SG;

Yanfang Huang, Shanghai, CN;

Guansong Liu, San Jose, CA (US);

LU Chang, Cupertino, CA (US);

Inventors:

Xinting Gao, Singapore, SG;

Wenshou Chen, Shanghai, CN;

Shan Xu, Singapore, SG;

Yanfang Huang, Shanghai, CN;

Guansong Liu, San Jose, CA (US);

Lu Chang, Cupertino, CA (US);

Assignee:

OmniVision Technologies, Inc., Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/46 (2006.01); H04N 5/262 (2006.01); H04N 13/239 (2018.01); H04N 13/00 (2018.01); H04N 13/128 (2018.01); H04N 5/232 (2006.01); H04N 13/139 (2018.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); H04N 13/106 (2018.01);
U.S. Cl.
CPC ...
H04N 13/128 (2018.05); G06K 9/00201 (2013.01); G06K 9/4609 (2013.01); G06K 9/6202 (2013.01); H04N 5/23238 (2013.01); H04N 5/23296 (2013.01); H04N 5/2628 (2013.01); H04N 13/106 (2018.05); H04N 13/139 (2018.05); H04N 13/239 (2018.05); H04N 2013/0081 (2013.01);
Abstract

A multiple camera imaging system comprises a first camera image sensor to obtain a first image of a scene and a second camera image sensor to obtain a second image. The system further comprises an image signal processor (ISP) to produce a first roughly-aligned image from the first image and a second roughly-aligned image from the second image. A feature point in the first roughly-aligned image is identified. A center of a search zone is created, which is a combination of the position of the feature point and an associated disparity value from the first and second roughly-aligned images. The search zone is created within the second roughly-aligned image. Candidate feature points are identified within the search zone, which is much smaller than the entire image. A best-matched feature point pair in the first roughly-aligned image and the second roughly-aligned image is then identified.


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