| 基于DWT和ONMF的人脸表情特征提取 |
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| 引用本文： | 杨丽瑞,张建明,王良民.基于DWT和ONMF的人脸表情特征提取[J].计算机工程与设计,2008,29(18). |
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| 作者姓名： | 杨丽瑞 张建明 王良民 |
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| 作者单位： | 江苏大学计算机科学与通信工程学院,江苏,镇江,212013;江苏大学计算机科学与通信工程学院,江苏,镇江,212013;江苏大学计算机科学与通信工程学院,江苏,镇江,212013 |
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| 基金项目： | 江苏大学校科研和教改项目 |
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| 摘 要： | 提出了一种基于离散小波变换(discrete wavelet transformation,DWT)和标准正交非负矩阵分解(orthonormal non-negative matrix factorization,ONMF)的人脸表情特征提取方法,该方法先通过离散小波变换,降低图像的噪声,并将得到的图像的低频信息作为研究对象;再采用标准正交非负矩阵分解来提取表情特征.实验结果表明相对于PCA,NMF和LNMF方法,本文方法能够有效地减小类内与类间距离的比值,体现了很好的聚类效果;较高的识别率和较快的识别速度表明了该特征提取方法的有效性.
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| 关 键 词： | 特征提取 离散小波变换 标准正交非负矩阵分解 类内类间距离比值 识别 |
Facial expression features extraction based on DWT and ONMF |
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| YANG Li-rui,ZHANG Jian-ming,WANG Liang-min.Facial expression features extraction based on DWT and ONMF[J].Computer Engineering and Design,2008,29(18). |
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| Authors: | YANG Li-rui ZHANG Jian-ming WANG Liang-min |
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| Affiliation: | YANG Li-rui,ZHANG Jian-ming,WANG Liang-min(College of Computer Science , Communications Engineering,Jiangsu University,Zhenjiang 212013,China) |
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| Abstract: | A novel method based on discrete wavelet transformation and orthonormal non-negative matrix factorization for facial ex-pression recognition is presented.Firstly,discrete wavelet transformation is used to reduce the image noise and produce a representation in the low frequency domain.Then,orthonormal non-negative matrix factorization is used to extract the facial features.Experimental results show that this method can effectively reduce the ratio of the with-in distance and between-class distance compared t... |
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| Keywords: | feature extraction DWT ONMF the ratio of the with-in distance and between-class distance recognition |
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