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Lai, W. H.; Li, Chang-Tsun
Publisher: University of Warwick. Department of Computer Science
Languages: English
Types: Other
Subjects: QA76

Classified by OpenAIRE into

arxiv: Computer Science::Computer Vision and Pattern Recognition, Computer Science::Multimedia
We propose in this work a method for detecting faces in color images with complex backgrounds. The approach starts with the transformation of the image pixels from the RGB color 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.
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    • [1] C.-T. Li, “The Role of Biometrics in Virtual Communities and Digital Governments," in Encyclopedia of Virtual Communities and Technologies, ed. by S. Dasgupta, Idea Group Publishing, July 2005.
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