TY - CONF T1 - Intra-personal kernel space for face recognition T2 - Automatic Face and Gesture Recognition, 2004. Proceedings. Sixth IEEE International Conference on Y1 - 2004 A1 - Zhou,Shaohua A1 - Chellapa, Rama A1 - Moghaddam, B. KW - analysis; KW - component KW - Expression KW - Face KW - facial KW - illumination KW - intra-personal KW - Kernel KW - lighting; KW - principal KW - probabilistic KW - probability; KW - recognition; KW - space; KW - variation; AB - Intra-personal space modeling proposed by Moghaddam et al. has been successfully applied in face recognition. In their work the regular principal subspaces are derived from the intra-personal spacce using a principal componen analysis and embedded in a probabilistic formulation. In this paper, we derive the principal subspace from the intro-personal kernel space by developing a probabilistic analysis for kernel principal components for face recognition. We test this algorithm on a subset of the FERET database with illumination and facial expression variations. The recognition performance demonstrates its advantage over other traditional subspace approaches. JA - Automatic Face and Gesture Recognition, 2004. Proceedings. Sixth IEEE International Conference on M3 - 10.1109/AFGR.2004.1301537 ER -