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| 基于人脸局部特征和SVM的表情识别 | |
| 引用本文： | 董李燕,刘艺蕾,王晓峰.基于人脸局部特征和SVM的表情识别[J].合肥学院学报(自然科学版),2009,19(1):24-27,31. |
| 作者姓名： | 董李燕 刘艺蕾 王晓峰 |
| 作者单位： | 1. 上海大学,数学系,上海,200444 2. 上海财经大学信息管理与工程学院,上海,200433 3. 新疆师范大学,数理信息学院,乌鲁木齐,830032 |
| 摘 要： | 提出了一种基于人脸局部特征的表情识别方法．首先选取人脸重要的局部特征，对得到的局部特征进行主成分分析，然后用支持向量机（SVM）设计局部特征分类器来确定测试表情图像中局部特征，同时设计支持向量机（SVM）表情分类器，确定表情图像的所属类别．对JAFFE人脸图像数据库进行仿真实验．结果表明，该方法要优于一般的基于整体特征的人脸表情识别方法． |
| 关 键 词： | 表情识别 主成分分析 支持向量机 |
A Face Expression Recognition Method Based on Face Features and Support Vector Machine |
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| DONG Li-yan,LIU Yi-lei,WANG Xiao-feng.A Face Expression Recognition Method Based on Face Features and Support Vector Machine[J].Journal of Hefei University :Natural Sciences,2009,19(1):24-27,31. | |
| Authors: | DONG Li-yan LIU Yi-lei WANG Xiao-feng |
| Institution: | 1.Department of Mathematics;Shanghai University;Shanghai200444;2.School of Information Management and Engineering;Shanghai University of Finance and Economics;Shanghai200433;3.School of Math Physics and Information;Xinjiang Normal University;Urumqi830032;China |
| Abstract: | A method for face expression recognition based on face component features was proposed.Face regional component feature was first selected.The principle component analysis(PCA) coefficients were extracted as feature vectors from the face component image.Then,support vector machine(SVM) was used to design feature classification machine for distinguishing the component regions in the face image.Meanwhile,face expression classification machine was also designed to determine which person the image belongs to.Som... |
| Keywords: | expression recognition principle component analysis support vector machines |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |