关键词: 人脸识别,自适应,三维形变模型,多流形判别分析,不可见区域,最近邻分类器

Abstract: In order to reduce the loss information of face appearance after the normalization of face pose and expression,a normalization face recognition method of face pose and expression based on adaptive three-dimensional morphable model (3DMM) and multiple manifold discriminant analysis was proposed.Firstly,face pose 2D and 3D coordinate transformation caused by the non-correspondence is described,and an adaptive 3DMM fitting method is proposed.Then,the entire image is mapped into a 3D grid objects by three-dimensional transformation to preserve the identity information as much as possible.Finally,multiple manifold discriminant analysis is used to calculate the distance between manifolds,and the nearest neighbor classifier is used to finish recognition.The effectiveness of the proposed method is verified by experimental results on data base Multi-PIE,LFW and self-collection experiments,the face recognition accuracy on the three databases can achieve 99.8%,95.25%,98.62%,respectively.The proposed method significantly improves the performance of face recognition,and it is better than other similar advanced methods in constrainted and unconstrained environment.

Key words: Face recognition,Adaptive,Three-dimensional morphable model,Multiple manifold discriminant analysis,Invisible region,Nearest neighbor classifier