公开(公告)号：US20230123037A1

公开(公告)日：2023-04-20

申请号：US18080331

申请日：2022-12-13

Applicant: L'OREAL

Inventor： Ruowei JIANG ,  Junwei MA ,  He MA ,  Eric ELMOZNINO ,  Irina KEZELE ,  Alex LEVINSHTEIN ,  Julien DESPOIS ,  Matthieu PERROT ,  Frederic Antoinin Raymond Serge FLAMENT ,  Parham AARABI

IPC: A61B5/00 ,  G06T7/00 ,  G06V40/16 ,  G06N3/08 ,  G06N3/045

Abstract: There is shown and described a deep learning based system and method for skin diagnostics as well as testing metrics that show that such a deep learning based system outperforms human experts on the task of apparent skin diagnostics. Also shown and described is a system and method of monitoring a skin treatment regime using a deep learning based system and method for skin diagnostics.

公开(公告)号：US20220005189A1

公开(公告)日：2022-01-06

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 ,  G06T7/90 ,  G06T7/10

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：US20210407153A1

公开(公告)日：2021-12-30

申请号：US17363098

申请日：2021-06-30

Applicant: L'Oreal

Inventor： Julien DESPOIS ,  Frederic FLAMENT ,  Matthieu PERROT

IPC: G06T11/00 ,  G06K9/00 ,  G06T7/00 ,  G06Q30/06 ,  G06N3/04 ,  G06N3/08 ,  A45D44/00

Abstract: There are provided computing devices and methods, etc. to controllably transform an image of a face, including a high resolution image, to simulate continuous aging. Ethnicity-specific aging information and weak spatial supervision are used to guide the aging process defined through training a model comprising a GANs based generator. Aging maps present the ethnicity-specific aging information as skin sign scores or apparent age values. The scores are located in the map in association with a respective location of the skin sign zone of the face associated with the skin sign. Patch-based training, particularly in association with location information to differentiate similar patches from different parts of the face, is used to train on high resolution images while minimize resource usage.