Skin-Color Modeling and Adaptation,
CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE
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This report studies a statistical skin-color model and its adaptation. By quantitative analysis and goodness-of fit test we reveal that 1 skin-color differences among people can be reduced by intensity normalization and 2 under a certain lighting condition a skin-color distribution can be characterized by a multivariate normal distribution in the normalized color space. We then propose an adaptive model to characterize human skin-color distributions for locating human faces under different lighting conditions. The parameters of the model are adapted by a linear combination of the known parameters. The maximum likelihood criterion has been used to obtain the optimal estimation of the coefficients. The model has been successfully applied to a real-time face tracker and other applications.
- Optical Detection and Detectors