Proposal for deep learning of skin translucency subjective assessment by beauty advisors

Aika Kuramoto; Kensuke Yotsumoto; Mizuho Kokubo; Hiroko Kawanobe; Makoto Hasegawa

doi:10.1117/12.3057445

5 February 2025 Proposal for deep learning of skin translucency subjective assessment by beauty advisors

Aika Kuramoto, Kensuke Yotsumoto, Mizuho Kokubo, Hiroko Kawanobe, Makoto Hasegawa

Author Affiliations +

Proceedings Volume 13510, International Workshop on Advanced Imaging Technology (IWAIT) 2025; 135100C (2025) https://doi.org/10.1117/12.3057445
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2025, 2025, Douliu City, Taiwan

Abstract

The subject's face was photographed, and their skin translucency was assessed using a beauty advisor. Small square regions were cropped from the captured images, and these cropped images along with their translucency values were used to train a regression model. The translucency of the skin of a new subject can be evaluated using a trained model. This computer-based assessment can complement the evaluation by a skilled beauty advisor and can help clarify skin translucency and train new beauty advisors.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Aika Kuramoto, Kensuke Yotsumoto, Mizuho Kokubo, Hiroko Kawanobe, and Makoto Hasegawa "Proposal for deep learning of skin translucency subjective assessment by beauty advisors", Proc. SPIE 13510, International Workshop on Advanced Imaging Technology (IWAIT) 2025, 135100C (5 February 2025); https://doi.org/10.1117/12.3057445

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