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Face detection and location are widely used in practice. Although there are lots of related researches, the results are not satisfactory, esp. for the situation of side-face and multiscale in complex background. Among these techniques, the method based on skin-color is an important approach, so far, however, the effect of detection and location is not favorable due to the unsatisfactory segmentation. In order to improve the segmentation, we employ a new proposed classifier - support vector machine (SVM), based on the output of which we put forward a new scheme to realize the face detection and location. Experimental results indicate the algorithm can work well on wide range of color, light and size variations in still images.
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th (Volume:2 )
Date of Conference: 6-9 Dec. 2004