L'oreal

Norwood, Kelsey

Phamduy, Theresa

Kelsey Norwood

Anke Hadasch

Gisela Perruna

Elisabeth Araujo

Yue Qiao

Theresa Phamduy

A method of predicting a resulting hue, tint, tone, or shade of a lipstick product on a user includes generating one or more instances on a graphical user interface indicative of a predicted applied lipstick hue, tint, tone, or shade based on receiving user lip-hue information and a lipstick product selection; and generating one or more instances on a graphical user interface of a lipstick product predicted to result in a hue, tint, tone, or shade, on the user, based on the received user lip-hue information and a desired coated lip-hue.

System and method of lipstick bulktone and application evaluation

A computer system obtains digital video data of at least one physical consumer product (two or more cosmetics products) in a personal care routine; analyzes the digital video data (e.g., using automated object recognition or gesture recognition techniques); detects at least one physical interaction with the at least one physical consumer product (e.g., two or more applications of cosmetics products) based at least in part on the analysis of the digital video data; and causes customized personal care routine data (e.g., a computer animation simulation or a comparison of the user's routine with routines of other users) to be presented in a user interface. The customized personal care routine data is based at least in part on the at least one physical interaction.

Analysis and feedback system for personal care routines

A method for predicting applied lipstick color includes extracting reference hue information from one or more digital images of a plurality of lip-tone cards, each lip-tone card including a plurality of lip-tone swatches, a white swatch, and a black swatch; extracting applied hue information from one or more digital images of a plurality of lip-tone cards coated with lipstick; and generating a predicted applied lipstick color based on the extracted applied hue information and one or more inputs indicative of a lipstick selection.

A computer system obtains digital video data of at least one physical consumer product (e.g., two or more cosmetics products) in a personal care routine; analyzes the digital video data (e.g., using automated object recognition or gesture recognition techniques); detects at least one physical interaction with the at least one physical consumer product (e.g., two or more applications of cosmetics products) based at least in part on the analysis of the digital video data; and causes customized personal care routine data (e.g., a computer animation simulation or a comparison of the user's routine with routines of other users) to be presented in a user interface. The customized personal care routine data is based at least in part on the at least one physical interaction.

In some embodiments of the present disclosure, a system for processing three-dimensional face scan data is provided. A three-dimensional scanner produces an image of a face including an area of interest that includes an eyebag area. A profile of the eyebag area is determined by the system. In some embodiments, the profile is determined based on a vertical slice at the center of the eyebag area. Profiles for multiple sets of scan data may be compared to determine quantitative differences between eyebag profiles. These differences may be used for quantitatively comparing the effects of products applied to the eyebag area between scans. These differences may also be used for predictively generating three-dimensional models to illustrate predicted effects of the use of a product on a face.

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Scotch Plains, NJ, United States of America

Kelsey Norwood