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:
Apr. 27, 2021

Filed:

Sep. 20, 2017
Applicant:

Avigilon Patent Holding 1 Corporation, Vancouver, CA;

Inventors:

Charles A. Myers, La Jolla, CA (US);

Alex Shah, San Diego, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06F 16/583 (2019.01);
U.S. Cl.
CPC ...
G06K 9/00295 (2013.01); G06F 16/5838 (2019.01); G06K 9/00221 (2013.01); G06K 9/00268 (2013.01); G06K 9/00275 (2013.01); G06K 9/00281 (2013.01); G06K 9/00288 (2013.01); G06K 9/00771 (2013.01); G06K 2009/00328 (2013.01); Y10S 707/99948 (2013.01);
Abstract

A method and system for matching an unknown facial image of an individual with an image of a celebrity using facial recognition techniques and human perception is disclosed herein. The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar faces to the user. The system features classification of unknown facial images from a variety of internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. Once classified, the matching person's name, image and associated meta-data is sent back to the user. The method and system uses human perception techniques to weight the feature vectors.


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