期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2014
卷号：9
期号：10
页码：231-242
出版社：SERSC
摘要：Skin color detection is the process that classifies unknown colors into skin or non-skin classes. Skin color detection is preliminary step for facial or gesture analysis and can reduce search space for next higher level processing. In this paper, we show that proposed PCA- based color representation can give better performance than other frequently used color spaces such as XYZ and Luv. For skin detection, we use two classification models – histogram model and elliptical boundary model from skin and non-skin colors. The experimental results show the PCA-based color representation is more efficient than other color representation and the existing PCA-based representation based on the two classification models.
