The Community for Technology Leaders
Circuits, Communications and Systems, Pacific-Asia Conference on (2009)
Chengdu, China
May 16, 2009 to May 17, 2009
ISBN: 978-0-7695-3614-9
pp: 749-751
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
Xiaoguo Wang, Ming Tian, Cong Wang, Yong Huang, Jun Liu, Xiongwei Zhang, "Cascade Two-dimensional Locality Preserving Projections for Face Recognition", Circuits, Communications and Systems, Pacific-Asia Conference on, vol. 00, no. , pp. 749-751, 2009, doi:10.1109/PACCS.2009.191
94 ms
(Ver 3.3 (11022016))