On Experimental Comparison of Color and Supervised Face Detection

Abstract

Viola-Jones algorithm and skin detection are the two widely used approaches for face detection. This paper aims at showing, experimentally, the trade-offs associated with each of the algorithm. The parameters used in this work are the ones encountered in real images. These include the illumination, color-space representation, face orientation, image sharpness and image complexity. Experimentally, the peculiarities associated with each algorithm are shown. Based on these experimental results, the situations are commented upon where these algorithms will be efficacious. This paper moreover aims at to provide an objective comparison of the two algorithms rather than going into the subjective details of peculiarities of any individual implementation.