Optimal gabor kernel location selection for face recognition
Proceedings: 2003 International Conference on Image Processing, ICIP-2003, Barcelona, İspanya, 14 - 17 Eylül 2003, cilt.1, ss.677-680, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 1
- Basıldığı Şehir: Barcelona
- Basıldığı Ülke: İspanya
- Sayfa Sayıları: ss.677-680
- Boğaziçi Üniversitesi Adresli: Evet
Özet
In local feature-based face recognition systems, the topographical locations of feature extractors directly affect the discriminative power of a recognizer. Better recognition accuracy can be achieved by the determination of the positions of salient image locations. Most of the facial feature selection algorithms in the literature work with two assumptions: one, that the importance of each feature is independent of the other features, and two, that the kernels should be located at fiducial points. Under these assumption, one can only get a sub-optimal solution. In this paper, we present a methodology that tries to overcome this problem by relaxing the two assumptions using a formalism of subset selection problem. We use a number of feature selection algorithms and a genetic algorithm. Comparative results on the FERET dataset confirm the viability of our approach.