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Frontal-view face detection and facial feature extraction using color, shape and symmetry based cost functions

Frontal-view face detection and facial feature extraction using color, shape and symmetry based cost functions,10.1016/S0167-8655(98)00044-0,Pattern R

Frontal-view face detection and facial feature extraction using color, shape and symmetry based cost functions   (Citations: 105)
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We describe an algorithm for detecting human faces and facial features, such as thelocation of the eyes, nose, and mouth. First, a supervised pixel-based color classifier isemployed to mark all pixels that are within a prespecified distance of "skin color," which iscomputed from a training set of skin patches. This color-classification map is then smoothedby Gibbs random field model-based filters to define skin regions. An ellipse model is fit toeach disjoint skin region. Finally, we...
Journal: Pattern Recognition Letters - PRL , vol. 19, no. 8, pp. 669-680, 1998
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