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Face Detection Using Support Vector Domain Description in Color Images  

Seo Jin (Dept. of Electronics & Computer Engineering, Korea University)
Ko Hanseok (Dept. of Electronics & Computer Engineering, Korea University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.42, no.1, 2005 , pp. 25-31 More about this Journal
Abstract
In this paper, we present a face detection system using the Support Vector Domain Description (SVDD) in color images. Conventional face detection algorithms require a training procedure using both face and non-face images. In 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. The experimental results indicate the effectiveness and efficiency of the proposed algorithm compared to conventional PCA (Principal Component Analysis)-based methods.
Keywords
Face detection; Support Vector Domain Description; Entropic Threshold;
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