关键词: 人脸识别, 子空间, 双向二维局部保持投影, 线性判别分析

Abstract:

To improve the robustness for  the face recognition method of illumination,and pose external factors,this paper modifies the twodimensional locality preserving projections (2DLPP) and gives a bidirectional 2DLPP (Bidirectional 2DLPP) algorithm. The difference with 2DLPP is that the bidirectional feature matrix is obtained by seeking the projection matrix in the column direction after the projection matrix in the row direction,thus the purpose of the dimensionality reduction is achieved. The experimental results show that this method has some robustness and higher recognition rate for the variation of illumination and pose.

Key words: face recognition;subspace;twodimensional locality preserving projections, bidirectional feature matrix;linear discriminate analysis