L'oreal

Grégoire Charraud

Ji Lee

Juwan Hong

Shivya Bansal

A computing device obtains a first video recorded by a first camera (e.g., a rear-facing camera of a mobile computing device) having a first field of view in an illuminated environment and obtains a second video recorded by a second camera having a second field of view (e.g., a forward-facing camera of a mobile computing device) in the illuminated environment that differs from the first field of view. The second field of view is directed toward a face of a live subject. The computing device extracts lighting environment images from the first video and face images from the second video. The computing device processes the face images and the lighting environment images (e.g., using machine learning models) to obtain a plurality of determinations of skin tone of the face and combines the determinations of skin tone of the face to determine a combined determination of skin tone.

Multi-camera video capture for accurate skin tone measurement

In some embodiments, a system for generating presentations of makeup applications is provided. The system comprises a camera, at least one motion sensor associated with a first applicator; and a computing device that includes at least one processor and a non-transitory computer-readable medium having computer-executable instructions stored thereon. The instructions, in response to execution by the at least one processor, cause the computing device to perform actions comprising: receiving a first video of a makeup application process from the camera, wherein the first video depicts at least a portion of a face and at least a portion of an applicator; receiving signals from the at least one motion sensor indicating motion of the applicator; measuring the motion of the applicator with respect to one or more landmarks of the face to determine a relative applicator path; and storing the relative applicator path.

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Jersey City, NJ, United States of America

Grégoire Charraud