关键词: 人脸识别, 特征提取, 局部保持投影, 子空间, 复合位置保持

Abstract: With the purpose of solving feature extraction problem in face recognition area, a new manifold learning algorithm is proposed, called Multiple Locality Preserving Projections（MLPP） based on Locality Preserving Projections（LPP）. By selecting different measure matrix and constraints matrix those include intra-class matrix and inter-class matrix, the problem can be converted into the normal eigenvalue problem. When constructing the graph, this algorithm makes point with the same attributes as neighborhood points, which makes the intra-class construct save to feature space. As a result, the local construct remains stable, and at the same time the global construct tends to maximalism, so the cluster with high efficiency has been obtained. The results of the experiments on JAFFE and AT&T face database indicate that MLPP improves recognition rate.

Key words: face recognition, feature extraction, Locality Preserving Projections（LPP）, subspace, multiple locality