| 基于隐马尔可夫模型(HMM)的人脸表情识别 |
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| 引用本文： | 王冲(青鸟),李一民,杨霞. 基于隐马尔可夫模型(HMM)的人脸表情识别[J]. 通信技术, 2007, 40(11): 359-361 |
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| 作者姓名： | 王冲(青鸟) 李一民 杨霞 |
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| 作者单位： | 昆明理工大学,信息工程与自动化学院,云南,昆明,650051 |
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| 基金项目： | 教育部春晖计划合作科研基金 |
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| 摘 要： | 人脸表情识别是目前的研究热点．文中介绍了人脸表情识别的过程，给出了基于隐马尔可夫模型（HMM）的人脸表情识别方法．通过分析人脸表情的变化情况，利用二维离散余弦变换（2D—DCT）提取脸部表情特征，经过大样本训练构建HMM模型来识别图像中的人脸表情．实验结果表明该方法是一种高效的面部表情识别方法。
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| 关 键 词： | 人脸表情识别 隐马尔可夫模型 表情特征提取 二维离散余弦变换 表情训练识别 |
| 文章编号： | 1002-0802（2007）11-0359-03 |
| 收稿时间： | 2007-07-02 |
Facial Expression Recognition Based on Hidden Markov Model |
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| WANG Chong-jing,LI Yi-min,YANG Xia. Facial Expression Recognition Based on Hidden Markov Model[J]. Communications Technology, 2007, 40(11): 359-361 |
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| Authors: | WANG Chong-jing LI Yi-min YANG Xia |
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| Abstract: | At present the facial expression recognition is a hot spot. The process of facial expression recognition is introduced and the method of facial expression recognition based on ttMMis discussed in this paper. Upon the analysis of the movement of facial expression, this paper describes a HMMapproach for facial expression recognition, which uses 2D-DCT coefficients as the features and constructs a HMMmodel for recognizing the facial expression. Experiment results indicate that the proposed approach is an effective method for recognizing facial expression. |
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| Keywords: | facial expression recognition HMM expression feature extraction 2D-DCT expression training and recognition |
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