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2DFLD与LPP相结合的人脸和表情识别方法
引用本文:朱明旱,罗大庸.2DFLD与LPP相结合的人脸和表情识别方法[J].模式识别与人工智能,2009,22(1):60-64.
作者姓名:朱明旱  罗大庸
作者单位:1.中南大学 信息科学与工程学院 长沙 410083
2.湖南文理学院 电气与信息工程学院 常德 415000
摘    要:提出一种二维Fisher线性判别分析(2DFLD)与局部保持投影(LPP)相结合的人脸和表情识别方法.首先,将训练集图像用2DFLD投影,使其按身份分离.然后,用LPP进行二次投影提取出它的表情流形.最后,给出概率度量,得到待测图像属于各类身份和表情的概率,从而识别出它的人脸和表情的类别.在CMU-AMP和JAFFE人脸库上的实验表明,该方法简便有效、识别效果好.

关 键 词:二维Fisher线性判别分析(2DFLD)  局部保持投影(LPP)  表情流形  人脸识别  表情识别  
收稿时间:2007-10-29

Face and Expression Recognition Method by Combing 2DFLD with LPP
ZHU Ming-Han,LUO Da-Yong.Face and Expression Recognition Method by Combing 2DFLD with LPP[J].Pattern Recognition and Artificial Intelligence,2009,22(1):60-64.
Authors:ZHU Ming-Han  LUO Da-Yong
Affiliation:1.College of Information Science and Engineering, Central South University, Changsha 410083
2. College of Communication and Electric Engineering, Hunan University of Arts and Science,
Changde 415000
Abstract:A face and expression recognition method by combing 2DFLD with LPP is proposed. Firstly, each facial image in training set is mapped by using 2DFLD according to its identity. Then, expression manifolds of training set are obtained by LPP. Finally, each identity and expression probability of test image is computed according to the given probability metric, and face and expression recognition of the test image is thus accomplished. The experimental results on CMU-AMP and JAFFE face database show the effectiveness of the proposed method.
Keywords:Two-Dimensional Fisher Linear Discriminant Analysis (2DFLD)  Locality Preserving Projection (LPP)  Expression Manifold  Face Recognition  Expression Recognition  
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