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Summary: Abstract
The automated detection of humans in computer vision
as well as the realistic rendering of people in computer
graphics necessitates improved modeling of the human
skin color. In this paper we describe the acquisition and
modeling of skin reflectance data densely sampled over the
entire visible spectrum. The data collected through a spec-
trograph allows us to explain skin color (and its varia-
tions) and to discriminate between human skin and dyes
designed to mimic human skin. We study the approxima-
tion of these data using several sets of basis functions. Our
study shows that skin reflectance data can best be approxi-
mated by a linear combination of Gaussians or their first
derivatives. This result has a significant practical impact
on optical acquisition devices: the entire visible spectrum
of skin reflectance can now be captured with a few filters
of optimally chosen central wavelengths and bandwidth.
1. Introduction
An accurate description of the color of human skin is
key for both human detection/identification in computer
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