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:
Aug. 11, 2026

Filed:

Mar. 03, 2024
Applicant:

Avidbots Corp, Kitchener, CA;

Inventors:

Xiule Fan, Waterloo, CA;

Ali Jahani Amiri, Kitchener, CA;

Baris Fidan, Waterloo, CA;

Soo Jeon, Waterloo, CA;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/593 (2017.01);
U.S. Cl.
CPC ...
G06T 7/593 (2017.01); G06T 2207/10012 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A system and method for unsupervised stereo matching with surface normal assistance for indoor applications. According to the disclosure, a deep neural network with a feature extraction module, a normal branch, and a disparity branch is disclosed. The extraction module and the normal branch are trained first in a supervised manner for surface normal prediction. The predicted surface normal is then incorporated into the disparity branch, which is trained later in an unsupervised manner for disparity estimation. The latter unsupervised learning approach can reduce our method's dependence on a large amount of ground truth data that is difficult to collect. Experimental results indicate that our proposed method can predict accurate surface normal at textureless regions. With the help of the surface normal, the predicted disparity at these challenging areas is more accurate, which leads to improved quality of stereo matching in indoor scenarios.


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