论文信息 - Cascade Two-dimensional Locality Preserving Projections for Face Recognition

Cascade Two-dimensional Locality Preserving Projections for Face Recognition

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.

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