关键词: 双向二维局部保持映射, 线性判别式分析, 人脸识别, 计算复杂度

Abstract: Recently, bidirectional two-dimensional Local Preserving Projection（2DLPP） is proposed for face representation and recognition. Compared with two-dimensional Local Preserving Projection（2DLPP）, the main idea behind bidirectional 2DLPP is that bidirectional 2DLPP simultaneously considering the row and column directions of images. Bidirectional 2DLPP needs fewer coefficients for image representation than 2DLPP which essentially works in the row direction of images. Furthermore, to enhance the classification ability of bidirectional 2DLPP, a new supervised algorithm is proposed: bidirectional 2DLPP plus LDA, in which images preprocessed by bidirectional 2DLPP are processed by LDA. Theoretical analyses show that bidirectional 2DLPP plus LDA algorithm has advantages over PCA+LDA, 2DLPP and bidirectional 2DLPP in computation complexity and memory requirements. The results of face recognition experimental on ORL and Yale face databases also show good performance of the methods with less computation.

Key words: discriminant bidirectional two-dimensional local preserving projection, linear discriminant analysis, face recognition, calculation complexity