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:
Oct. 10, 2023

Filed:

Mar. 01, 2021
Applicant:

Nec Laboratories America, Inc., Princeton, NJ (US);

Inventors:

Yi Yang, Princeton, NJ (US);

Biplob Debnath, Princeton, NJ (US);

Giuseppe Coviello, Princeton, NJ (US);

Oliver Po, San Jose, CA (US);

Srimat Chakradhar, Manalapan, NJ (US);

Yang Gao, Dallas, TX (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/52 (2022.01); G06N 3/08 (2023.01); G06V 20/40 (2022.01); G06F 18/211 (2023.01); G06F 18/214 (2023.01);
U.S. Cl.
CPC ...
G06V 20/52 (2022.01); G06F 18/211 (2023.01); G06F 18/214 (2023.01); G06N 3/08 (2013.01); G06V 20/41 (2022.01);
Abstract

A computer-implemented method executed by at least one processor for detecting tattoos on a human body is presented. The method includes inputting a plurality of images into a tattoo detector, selecting one or more images of the plurality of images including tattoos, extracting, via a feature extractor, tattoo feature vectors from the tattoos found in the one or more images of the plurality of images including tattoos, applying a deep learning tattoo matching model to determine potential matches between the tattoo feature vectors and preexisting tattoo images stored in a tattoo training database, and generating a similarity score between the tattoo feature vectors and one or more of the preexisting tattoo images stored in the tattoo training database.


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