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Proceedings Paper

Skin image reconstruction using Monte Carlo based color generation
Author(s): Yoshihisa Aizu; Takaaki Maeda; Tomohiro Kuwahara; Tetsuji Hirao
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Paper Abstract

We propose a novel method of skin image reconstruction based on color generation using Monte Carlo simulation of spectral reflectance in the nine-layered skin tissue model. The RGB image and spectral reflectance of human skin are obtained by RGB camera and spectrophotometer, respectively. The skin image is separated into the color component and texture component. The measured spectral reflectance is used to evaluate scattering and absorption coefficients in each of the nine layers which are necessary for Monte Carlo simulation. Various skin colors are generated by Monte Carlo simulation of spectral reflectance in given conditions for the nine-layered skin tissue model. The new color component is synthesized to the original texture component to reconstruct the skin image. The method is promising for applications in the fields of dermatology and cosmetics.

Paper Details

Date Published: 2 December 2010
PDF: 8 pages
Proc. SPIE 7851, Information Optics and Optical Data Storage, 78510N (2 December 2010); doi: 10.1117/12.872727
Show Author Affiliations
Yoshihisa Aizu, Muroran Institute of Technology (Japan)
Takaaki Maeda, Muroran Institute of Technology (Japan)
Tomohiro Kuwahara, Shiseido Co., Ltd. (Japan)
Tetsuji Hirao, Shiseido Co., Ltd. (Japan)

Published in SPIE Proceedings Vol. 7851:
Information Optics and Optical Data Storage
Feijun Song; Shiquan Tao; Francis T. S. Yu; Suganda Jutamulia; Kees A. Schouhamer Immink; Keiji Shono, Editor(s)

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