Circuits, Communications and Systems, Pacific-Asia Conference on (2009)
May 16, 2009 to May 17, 2009
In this paper, we propose a novel algorithm for face feature extraction, namely the cascade two-dimensional locality preserving projections (C2DLPP), which directly extracts the proper features from image matrices based on locality preserving criterion. Experiments on ORL and PIE face database are performed to test and evaluate the proposed algorithm. The results demonstrate the effectiveness of proposed algorithm.
feature extraction, face recognition, Two-dimensional Locality Preserving Projections
C. Wang, X. Zhang, X. Wang, Y. Huang, J. Liu and M. Tian, "Cascade Two-dimensional Locality Preserving Projections for Face Recognition," 2009 Pacific-Asia Conference on Circuits, Communications and Systems (PACCS 2009)(PACCS), Chengdu, 2009, pp. 749-751.