KEYWORDS: Skin, Translucency, Education and training, Deep learning, Neural networks, Data modeling, Mathematical modeling, Image processing, Performance modeling, Human resources
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.
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