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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.

Patent No.:

US 12646097 B1

PDFFull Text
Date of Patent:
Jun. 02, 2026

Filed:

Dec. 21, 2021

Method for determining a skin colour of a face on basis of numerical values and corresponding system

Applicant:

L'oreal, Paris, FR;

Inventors:

Johan Aubert, Clichy, FR;

Grégoire Charraud, Clichy, FR;

Asiya Shakhmametova, Clichy, FR;

Louis Dupont De Dinechin, Clichy, FR;

Emmanuel Malherbe, Clichy, FR;

Assignee:

L'Oreal, Paris, FR;

Attorney:

Christensen O'Connor Johnson Kindness PLLC

Primary Examiner:

Haris Sabah

Int. Cl.
CPC ...
G06Q 30/0601 (2023.01); A45D 34/04 (2006.01); A45D 34/06 (2006.01); A45D 44/00 (2006.01); A61K 8/02 (2006.01); A61Q 1/02 (2006.01); A61Q 1/12 (2006.01); A61Q 17/00 (2006.01); B08B 3/08 (2006.01); G06T 7/90 (2017.01); G06T 11/10 (2026.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G06V 40/16 (2022.01); H04W 4/80 (2018.01); H04W 64/00 (2009.01); A45D 34/00 (2006.01); G06F 16/9035 (2019.01); G06Q 10/40 (2026.01); G06T 3/4046 (2024.01); H04N 1/60 (2006.01);
U.S. Cl.
CPC ...
G06Q 30/0631 (2013.01); A45D 34/04 (2013.01); A45D 34/06 (2013.01); A45D 44/005 (2013.01); A61K 8/02 (2013.01); A61Q 1/02 (2013.01); A61Q 1/12 (2013.01); A61Q 17/005 (2013.01); B08B 3/08 (2013.01); G06T 7/90 (2017.01); G06T 11/10 (2026.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G06V 40/161 (2022.01); G06V 40/169 (2022.01); G06V 40/171 (2022.01); H04W 4/80 (2018.02); H04W 64/006 (2013.01); A45D 2034/002 (2013.01); A45D 2034/005 (2013.01); A45D 2200/058 (2013.01); A45D 2200/205 (2013.01); A61K 2800/59 (2013.01); G06F 16/9035 (2019.01); G06Q 10/40 (2026.01); G06Q 30/0643 (2013.01); G06T 3/4046 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/30196 (2013.01); H04N 1/60 (2013.01);
Abstract

This method for determining a skin colour of a region of interest of a user, comprises: —importing, from an image library (LIB) of a user computational device (APP), at least one image (IMk) comprising a representation of the region of interest of the user; —performing processing (TS) of said at least one image (IMk) with a machine-learning model (AI_TS) suitable for providing, for each imported image (IMk), a numerical value (ClrEstm_k) representative of the skin colour of the region of interest present in said at least None imported image (IMk); —performing evaluation (EVAL) of the skin colour of the region of interest on the basis of said one or more numerical values (ClrEstm_k) of each imported image.

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