ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:WA-P6.8
Session:Biometrics
Time:Wednesday, October 11, 09:40 - 12:20
Presentation: Poster
Topic: Biometrics: Face detection, recognition and classification
Title: SKIN DETECTION USING A MARKOV RANDOM FIELD AND A NEW COLOR SPACE
Authors: Kamal Chenaoua; King Fahd University of Petroleum & Minerals 
 Ahmed Bouridane; Queen's University of Belfast 
Abstract: In this paper, human skin detection is performed using a new color space coordinate and a Markov random field based approach. The proposed color space uses the principal component analysis technique to reduce the number of color components. The MRF model takes into account the spatial relations within the image that are included in the labeling process through statistical dependence among neighboring pixels. Since only two classes are considered the Ising model is used to perform the skin/non-skin classification process.