Proposal for predicting the facial brightening effect of cosmeceuticals using deep learning

Rui Matsuo; Kensuke Yotsumoto; Hiroko Kawanobe; Megumi Nakashima; Makoto Hasegawa

doi:10.1117/12.2666507

25 March 2023 Proposal for predicting the facial brightening effect of cosmeceuticals using deep learning

Rui Matsuo, Kensuke Yotsumoto, Hiroko Kawanobe, Megumi Nakashima, Makoto Hasegawa

Proceedings Volume 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023; 1259226 (2023) https://doi.org/10.1117/12.2666507
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2023, 2023, Jeju, Korea, Republic of

Abstract

The face of a subject who had been using cosmeceuticals for four years and eight months was photographed in ultraviolet light and RGB color. These images, including those taken before the use of the cosmetics, were subjected to deep learning using a neural network model referred to as pix2pix. It was demonstrated that it is possible to predict the effect of the cosmeceutical on the skin and generate images for new subjects using a trained neural network.

Citation Download Citation

Rui Matsuo, Kensuke Yotsumoto, Hiroko Kawanobe, Megumi Nakashima, and Makoto Hasegawa "Proposal for predicting the facial brightening effect of cosmeceuticals using deep learning", Proc. SPIE 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023, 1259226 (25 March 2023); https://doi.org/10.1117/12.2666507

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