| 基于非负矩阵分解的人脸识别算法的改进 |
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| 引用本文： | 高宏娟,潘晨. 基于非负矩阵分解的人脸识别算法的改进[J]. 微机发展, 2007, 17(11): 63-66 |
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| 作者姓名： | 高宏娟 潘晨 |
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| 作者单位： | 宁夏大学 宁夏银川750021 |
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| 基金项目： | 国家自然科学基金资助项目(60663003)，宁夏自然科学基金资助项目(NZ0610) |
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| 摘 要： | 非负矩阵分解方法是基于局部特征的特征提取方法,已经成功用于人脸识别。研究基于非负矩阵分解的人脸图像识别的改进算法是一个有重要意义的研究课题。采用二维非负矩阵分解方法(2DNMF)和对角非负矩阵分解方法(Di-aNMF),并且使用正交的基矩阵进行Matlab实验。实验结果表明,以上改进措施能够有效提高人脸图像识别的正确率。
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| 关 键 词： | 非负矩阵分解 人脸识别 对角非负矩阵分解 基矩阵 |
| 文章编号： | 1673-629X(2007)11-0063-04 |
| 修稿时间： | 2007-02-10 |
Improved Face Recognition Algorithm Based on Non-Negative Matrix Factorization |
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| GAO Hong-juan,PAN Chen. Improved Face Recognition Algorithm Based on Non-Negative Matrix Factorization[J]. Microcomputer Development, 2007, 17(11): 63-66 |
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| Authors: | GAO Hong-juan PAN Chen |
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| Abstract: | Non-negative matrix factorization(NMF)is a method of parts-based feature extraction,it has been already applied to face recognition successfully.It is an important issue to research the improved method in face recognition field.In this paper,2-D non-negative matrix factorization and diagonal non-negative matrix factorization are adopted,and use orthogonal base matrix to make experiment.The experimental result shows that,compared with developed face recognition based on non-negative matrix factorization,the improved algorithm can increase accutate ratio of face recognition. |
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| Keywords: | non-negative matrix factorization face recognition diagonal-non-negative matrix factorization base matrix |
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