Face detection using support vector domain description in color images
Jin-Woo Seo, Hanseok Ko · 2004
We present a system for face detection in color images using the support vector domain description (SVDD). Conventional face detection algorithms require a training procedure using both face and non-face images. In the SVDD, however, we employ only face images for training. We can detect faces in color images from the radius and center pairs of SVDD. We also use entropic threshold for extracting the facial feature and sliding window for improved performance while saving processing time. Experimental results indicate the effectiveness and efficiency of the proposed algorithm compared to the conventional PCA (principal component analysis) based methods.