| 基于2DPCA补空间的特定人与非特定人的表情识别 |
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| 引用本文： | 李春芝,陈晓华.基于2DPCA补空间的特定人与非特定人的表情识别[J].湖州师范学院学报,2009,31(1). |
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| 作者姓名： | 李春芝 陈晓华 |
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| 作者单位： | 湖州师范学院信息工程学院,浙江湖州,313000 |
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| 摘 要： | 研究表明,对一种识别有利的信息有可能反而对其他识别任务造成干扰,表情识别需要利用表示各种表情之间差异的信息.针对特定人及非特定人的7种基本表情.提出基于二维主元分析(Two-Dimensional Principle Analysis,2DPCA)补空间的表情识别算法.基于CED-WYU(1.0)及JAFFE两个表情数据库的实验结果表明,2DPCA补空间算法针对特定人与非特定人的表情识别率可达100%,高于2DPCA算法.
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| 关 键 词： | 特定人 非特定人 二维主元分析 补空间 表情识别 |
Person-Dependent and Person-Independent Facial Expression Recognition Based on 2DPCA Complementary Subspace |
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| LI Chun-zhi,CHEN Xiao-hua.Person-Dependent and Person-Independent Facial Expression Recognition Based on 2DPCA Complementary Subspace[J].Journal of Huzhou Teachers College,2009,31(1). |
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| Authors: | LI Chun-zhi CHEN Xiao-hua |
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| Institution: | Faculty of Information Engineering;Huzhou Teachers College;Huzhou 313000;China |
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| Abstract: | Research shows that the information which is helpful to one recognition task would be interferential to another recognition task.Facial expression recognition calls for the information difference among all kinds of expressions.This paper proposes the calculation of expression recognition based on the two-dimensional principle analysis(2DPCA) complementary subspace according to the seven basic person-dependent and person-independent facial expressions.The results of the experiment made on the two JAFFE facia... |
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| Keywords: | person-dependent person-independent two-dimensional principle analysis complementary subspace expression recognition |
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