Abstract
We propose an automatic evaluation system of human skin surface condition based on subjective evaluation provided by cosmeticians. In the proposed system, image features extracted on the skin image and subjective evaluation by cosmeticians are flexibly connected by using a backpropagation neural network, so that it can automatically estimate human skin surface condition based on subjective evaluation from various skin images. We show some experimental results. Using the trained neural network, human skin surface condition based on subjective evaluation is estimated for unlearned skin images. Then subjective evaluation by this system was compared with that by cosmeticians. Since the proposed system can successfully estimate human skin surface condition like cosmeticians, the effect of the system is demonstrated.
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