Supervised discriminant projection in Kernel space

Abstract

Kernel supervised discriminant projection (KSDP) is proposed in this paper. KSDP method not only preserves the discriminant information with intrinsic geometric relations, but also represents the complex nonlinear variations of face images. Experimental results demonstrate the effectiveness of the proposed method.