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http://dx.doi.org/10.9708/jksci.2012.17.6.029

Human Skin Region Detection Utilizing Depth Information  

Jang, Seok-Woo (Dept. of Digital Media, Anyang University)
Park, Young-Jae (School of Computing, Soongsil University)
Kim, Gye-Young (School of Computing, Soongsil University)
Publication Information
Journal of the Korea Society of Computer and Information / v.17, no.6, 2012 , pp. 29-36 More about this Journal
Abstract
In this paper, we suggest a new method of detecting human skin-color regions from three-dimensional static or dynamic stereoscopic images by effectively integrating depth and color features. The suggested method first extracts depth information that represents the distance between a camera and an object from input left and right stereoscopic images through a stereo matching technique. It then performs labeling for pixels with similar depth features and determines the labeled regions having human skin color as actual skin color regions. Our experimental results show that the suggested skin region extraction method outperforms existing skin detection methods in terms of skin-color region extraction accuracy.
Keywords
Skin-Color Region; Three-Dimensional Image; Depth Information; Color Feature;
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Times Cited By KSCI : 2  (Citation Analysis)
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