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. 20, 2019

Filed:

Jan. 21, 2015
Applicant:

Trax Technology Solutions Pte. Ltd., Singapore, SG;

Inventors:

Shimon Daniel Cohen, Ra'anana, IL;

Noga Zieber, Tel Aviv, IL;

Rotem Littman, Hod Hasharon, IL;

Udy Danino, Bnei-Brak, IL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/20 (2006.01); G06T 3/00 (2006.01); G06T 3/40 (2006.01); G06T 3/60 (2006.01); G06T 7/33 (2017.01); G06T 7/38 (2017.01); H04N 5/225 (2006.01); H04N 5/232 (2006.01);
U.S. Cl.
CPC ...
G06T 3/0075 (2013.01); G06T 3/0006 (2013.01); G06T 3/4038 (2013.01); G06T 3/60 (2013.01); G06T 7/33 (2017.01); G06T 7/337 (2017.01); G06T 7/38 (2017.01); H04N 5/2257 (2013.01); G06K 2009/2045 (2013.01); G06T 2207/10016 (2013.01); H04N 5/23293 (2013.01);
Abstract

The present disclosure provides a computer implemented method of image processing comprising, upon receiving of first and second images from an imaging unit, the first and second images being respectively associated with first and second rotational changes between a reference orientation and the orientations of the first and second images: processing data representative of the first image and of the second image to compensate the first and second rotational changes between the reference orientation and the respective orientations of the first and second images, thereby obtaining first and second corrected images; processing the first corrected image to detect distinctive keypoints within a fronto-parallel strip of the first corrected image; searching keypoints in the second corrected image corresponding to the detected keypoints, and estimating a geometric transformation between the first and second images based on matching the keypoints in the first and the second corrected images.


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