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 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 Entropie Threshold for extracting the facial feature and Sliding Window for improved performance while saving the processing time. The experimental results indicate the effectiveness and efficiency of the proposed algorithm compared to the conventional PCA (Principal Component Analysis)-based methods.
|ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
|Published - 2004
|Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: 2004 May 17 → 2004 May 21
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering