公开(公告)号：WO2023083583A1

公开(公告)日：2023-05-19

申请号：PCT/EP2022/079364

申请日：2022-10-21

Applicant: L'OREAL

Inventor： ASKENAZI, Benjamin ,  PERROT, Matthieu ,  MALHERBE, Emmanuel ,  PACHAS, Yohana ,  LESEUR, Olivier

IPC: A61B5/107 ,  A61B5/00 ,  G06V40/18

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：WO2020057803A1

公开(公告)日：2020-03-26

申请号：PCT/EP2019/069047

申请日：2019-07-15

Applicant: L'OREAL

Inventor： PERROT, Matthieu ,  MALHERBE, Emmanuel ,  WASSERMAN, Thierry ,  CHARBIT, John ,  BOKARIS, Panagiotis-alexandros

IPC: G06T7/00

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：WO2021011287A1

公开(公告)日：2021-01-21

申请号：PCT/US2020/041350

申请日：2020-07-09

Applicant: L'OREAL ,  ELFAKHRI, Christine

Inventor： ELFAKHRI, Christine ,  VALCESCHINI, Florent ,  TRAN, Loic ,  PERROT, Matthieu ,  KIPS, Robin ,  MALHERBE, Emmanuel

IPC: G06K9/00 ,  G06K9/46

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：WO2020084057A1

公开(公告)日：2020-04-30

申请号：PCT/EP2019/079036

申请日：2019-10-24

Applicant: L'OREAL

Inventor： CHARRAUD, Grégoire ,  MALAPRADE, Helga ,  THIEBAUT, Géraldine ,  PERROT, Matthieu ,  KIPS, Robin

IPC: G06K9/00

Abstract: Embodiments of the present disclosure provide systems, methods, and computer- readable media that use machine learning models to enable computing devices to detect and identify cosmetic products in face images. In some embodiments, a model training system may gather training data for building the machine learning models by analyzing face images associated with tagging data. In some embodiments, a recommendation system may be configured to use the machine learning models generated by the model training system to detect products in face images, and to add information based on the detected products to a look data store, and/or to provide recommendations for similar looks from the look data store based on the detected products.