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:
Jun. 03, 2025

Filed:

Apr. 12, 2021
Applicant:

Gsi Technology Inc., Sunnyvale, CA (US);

Inventors:

Elona Erez, Tel Aviv, IL;

Avidan Akerib, Tel Aviv, IL;

Assignee:

GSI Technology Inc., Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/254 (2017.01); G06F 18/21 (2023.01); G06F 18/22 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06T 5/50 (2006.01); G06T 7/11 (2017.01); G06T 7/33 (2017.01); G06V 10/50 (2022.01); G06V 10/75 (2022.01); G06V 10/82 (2022.01); G06V 20/13 (2022.01);
U.S. Cl.
CPC ...
G06T 7/254 (2017.01); G06F 18/21 (2023.01); G06F 18/22 (2023.01); G06N 3/045 (2023.01); G06T 5/50 (2013.01); G06T 7/11 (2017.01); G06T 7/33 (2017.01); G06V 10/50 (2022.01); G06V 10/75 (2022.01); G06V 10/82 (2022.01); G06V 20/13 (2022.01); G06N 3/08 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01);
Abstract

A system for detecting changes between two temporally different images includes an image divider, a Convolutional Neural Network (CNN) feature encoder, an image alignment system, a feature comparator, a CNN feature decoder and segmenter, and a block combiner. The image divider divides a first and second image into a plurality of image blocks. CNN feature encoder encodes the image blocks from the first and second image into first and second feature sets respectively. The image alignment system aligns the first and second image by searching for matching anchor vectors in the first and second feature sets using a similarity search. The feature comparator produces change feature sets from the first and second feature sets of the aligned image blocks, and the CNN feature decoder and segmenter creates segmented change image blocks from the change feature sets. The block combiner combines segmented change image blocks into a segmented change image.


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