2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06) Skin Colour-Based Face Detection in Colour Images Sydney, NSW, Australia November 22-November 24 ISBN: 0-7695-2688-8
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AVSS.2006.105
We propose in this work a method for detecting faces in colour images with complex backgrounds. The approach starts with the transformation of the image pixels from the RGB colour space to the chrominance space (YCbCr). Secondly, a Gaussian model is fitted on the transformed image in order to calculate the likelihood of skin for each pixel and to create a likelihood image. Thirdly, by thresholding the likelihood image, skin pixels are segmented to form a binary skin map, which contains the candidate face regions. Finally, a verification process is carried out to determine whether these candidate face regions are real faces or not.
Index Terms:
Face detection, face recognition, biometrics
Citation:
Wen-Hsiang Lai, Chang-Tsun Li, "Skin Colour-Based Face Detection in Colour Images," avss, pp.56, 2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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