公开(公告)号：US20250040873A1

公开(公告)日：2025-02-06

申请号：US18708979

申请日：2022-10-21

Applicant: L'Oreal

Inventor： Benjamin Askenazi ,  Matthieu Perrot ,  Emmanuel Malherbe ,  Yohana Pachas ,  Olivier Leseur

IPC: A61B5/00 ,  G06T7/00 ,  G06T7/11 ,  G16H20/00

Abstract: The present invention relates to a method for characterizing eyelashes or eyebrows which is implemented by computer and comprises the following steps, which are directed toward:—receiving data corresponding to a set of pixels in a close-up image of a body area comprising a plurality of eyelashes, preferably the entirety of a row of eyelashes or of an eyebrow, to be characterized:—applying at least one step of computer vision so as to obtain, on the basis of the image data received, a numerical evaluation of at least one characteristic numerical parameter from among, notably, the number of fibers, an average length of the fibers, an average thickness of the fibers, and a curvature of the fibers.

公开(公告)号：US11191342B2

公开(公告)日：2021-12-07

申请号：US16516080

申请日：2019-07-18

Applicant: L'Oreal

Inventor： Christine Elfakhri ,  Florent Valceschini ,  Loic Tran ,  Matthieu Perrot ,  Robin Kips ,  Emmanuel Malherbe

IPC: A45D44/00 ,  G06N20/00 ,  A61B5/00 ,  B44D3/00 ,  G01J3/46

Abstract: In some embodiments of the present disclosure, one or more machine learning models are trained to accurately estimate skin color in one or more images regardless of the lighting conditions. In some embodiments, the models can then be used to estimate a skin color in a new image, and that estimated skin color can be used for a variety of purposes. For example, the skin color may be used to generate a recommendation for a foundation shade that accurately matches the skin color, or a recommendation for another cosmetic product that is complimentary with the estimated skin color. Thus, the need for an in-person test of the product is eliminated.

公开(公告)号：US20240086989A1

公开(公告)日：2024-03-14

申请号：US18259915

申请日：2021-12-21

Applicant: L'Oreal

Inventor： Johan Aubert ,  Grégoire Charraud ,  Asiya Shakhmametova ,  Louis Dupont De Dinechin ,  Emmanuel Malherbe

IPC: G06Q30/0601 ,  A45D34/04 ,  A45D34/06 ,  A45D44/00 ,  A61K8/02 ,  A61Q1/02 ,  A61Q1/12 ,  A61Q17/00 ,  B08B3/08 ,  G06T7/90 ,  G06T11/00 ,  G06V10/774 ,  G06V10/82 ,  G06V20/40 ,  G06V40/16 ,  H04W4/80 ,  H04W64/00

CPC classification number: G06Q30/0631 ,  A45D34/04 ,  A45D34/06 ,  A45D44/005 ,  A61K8/02 ,  A61Q1/02 ,  A61Q1/12 ,  A61Q17/005 ,  B08B3/08 ,  G06T7/90 ,  G06T11/001 ,  G06V10/774 ,  G06V10/82 ,  G06V20/40 ,  G06V40/161 ,  G06V40/169 ,  G06V40/171 ,  H04W4/80 ,  H04W64/006 ,  G06Q30/0643 ,  G06Q50/01

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.

公开(公告)号：US20220079325A1

公开(公告)日：2022-03-17

申请号：US17538449

申请日：2021-11-30

Applicant: L'Oreal

Inventor： Christine Elfakhri ,  Florent Valceschini ,  Loic Tran ,  Matthieu Perrot ,  Robin Kips ,  Emmanuel Malherbe

IPC: A45D44/00 ,  G06N20/00 ,  A61B5/00 ,  B44D3/00 ,  G01J3/46

Abstract: In some embodiments of the present disclosure, one or more machine learning models are trained to accurately estimate skin color in one or more images regardless of the lighting conditions. In some embodiments, the models can then be used to estimate a skin color in a new image, and that estimated skin color can be used for a variety of purposes. For example, the skin color may be used to generate a recommendation for a foundation shade that accurately matches the skin color, or a recommendation for another cosmetic product that is complimentary with the estimated skin color. Thus, the need for an in-person test of the product is eliminated.

公开(公告)号：US12159397B2

公开(公告)日：2024-12-03

申请号：US17277166

申请日：2019-07-15

Applicant: L'OREAL

Inventor： Matthieu Perrot ,  Emmanuel Malherbe ,  Thierry Wasserman ,  John Charbit ,  Panagiotis-alexandros Bokaris

IPC: G06T7/00 ,  A61B5/00 ,  G06T7/10 ,  G06T7/90

Abstract: The present application is directed to a method and system for determining at least one physical and/or chemical characteristic of a keratinous surface of a user, the method comprising the steps of: —receiving data corresponding to at least one image of the keratinous surface, —processing the image by applying at least one machine learning model to said image, —returning at least one numerical value corresponding to a grade of the characteristic of the keratinous surface to be determined.

公开(公告)号：US20210015240A1

公开(公告)日：2021-01-21

申请号：US16516080

申请日：2019-07-18

Applicant: L'Oreal

Inventor： Christine Elfakhri ,  Florent Valceschini ,  Loic Tran ,  Matthieu Perrot ,  Robin Kips ,  Emmanuel Malherbe

IPC: A45D44/00 ,  A61B5/00 ,  G06N20/00 ,  B44D3/00 ,  G01J3/46

Abstract: In some embodiments of the present disclosure, one or more machine learning models are trained to accurately estimate skin color in one or more images regardless of the lighting conditions. In some embodiments, the models can then be used to estimate a skin color in a new image, and that estimated skin color can be used for a variety of purposes. For example, the skin color may be used to generate a recommendation for a foundation shade that accurately matches the skin color, or a recommendation for another cosmetic product that is complimentary with the estimated skin color. Thus, the need for an in-person test of the product is eliminated.