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

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Title: Frontal-view face detection and facial feature extraction using color, shape and symmetry based cost functions
Author: Saber, Eli; Tekalp, A. Murat
Abstract: We describe an algorithm for detecting human faces and facial features, such as the location of the eyes, nose and mouth. First, a supervised pixel-based color classifier is employed to mark all pixels that are within a prespecified distance of ‘‘skin color’’, which is computed from a training set of skin patches. This color-classification map is then smoothed by Gibbs random field model-based filters to define skin regions. An ellipse model is fit to each disjoint skin region. Finally, we introduce symmetry-based cost functions to search the center of the eyes, tip of nose, and center of mouth within ellipses whose aspect ratio is similar to that of a face.
Description: RIT community members may access full-text via RIT Libraries licensed databases: http://library.rit.edu/databases/
Record URI: http://hdl.handle.net/1850/9865
Publishers URL: http://dx.doi.org/10.1016/S0167-8655(98)00044-0
Date: 1998

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