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. 01, 2023

Filed:

Apr. 22, 2021
Applicant:

Delta Electronics, Inc., Taoyuan, TW;

Inventors:

Kuan-Wen Chen, Taoyuan, TW;

Po-Heng Chen, Taoyuan, TW;

Zhao-Xu Luo, Taoyuan, TW;

Yi-Ting Huang, Taoyuan, TW;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/77 (2022.01); G06V 10/44 (2022.01); G06F 18/22 (2023.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06V 10/74 (2022.01); G06V 10/774 (2022.01);
U.S. Cl.
CPC ...
G06V 10/443 (2022.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06V 10/74 (2022.01); G06V 10/761 (2022.01); G06V 10/774 (2022.01); G06V 10/7715 (2022.01);
Abstract

An image processing method includes analyzing multiple images data based on Illumination-invariant Feature Network (IF-NET) with an image processing device to generate corresponding sets of eigenvector, in which image data includes a first image data related to at least one first feature of the sets of eigenvector, and a second image data related to at least one second feature of the sets of eigenvector; choosing a corresponding first training set of tiles and second training set of tiles from the first image data and second image data with an image processing device based on IF-NET, and computing on both training set of tiles to generate a least one loss value; and adjusting IF-NET based on a least one loss value. An image processing system is also disclosed herein.


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