From coarse to fine skin and face detection
نویسندگان
چکیده
A method for ne skin and face detection is described that starts from a coarse color segmentation. Some regions represent parts of human skin and are selected by minimizing an error between the color distribution of each region and the output of a compression decompression neural network, which learns skin color distribution for several populations of di erent ethnicity. This ANN is used to nd a collection of skin regions, which is used in a second learning step to provide parameters for a Gaussian mixture model. A ner classi cation is performed using a Bayesian framework and makes the skin and face detection invariant to scale and lighting conditions. Finally, a face shape based model is used to decide whether a skin region is a face or not.
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