Bilateral Two-Dimensional Locality Preserving Projections with Its Application to Face Recognition

Authors:
Xiao-Guo Wang
Affiliations:
Institute of Communications Engineering, PLA Univ. of Sci. & Tech., Nanjing, China 210007
Venue:
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Year:
2009

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Abstract

In this paper, we propose a novel algorithm for face feature extraction, namely the bilateral two-dimensional locality preserving projections (B2DLPP), 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.