| 采用压缩感知的人脸识别算法 |
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| 引用本文： | 魏冬梅,周卫东. 采用压缩感知的人脸识别算法[J]. 计算机工程, 2011, 37(18): 10-11 |
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| 作者姓名： | 魏冬梅 周卫东 |
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| 作者单位： | 1. 山东大学信息科学与工程学院,济南250100;山东师范大学传播学院,济南250014
2. 山东大学信息科学与工程学院,济南,250100 |
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| 基金项目： | 国家自然科学基金资助项目(30870666); 山东大学自主创新基金资助项目(2009JC004) |
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| 摘 要： | 介绍压缩感知(CS)理论,并将其应用于人脸识别.运用训练数据构造冗余字典,采用随机分布的规范行矢量高斯矩阵构造感知矩阵,对训练图像和测试图像进行感知.利用正交匹配跟踪算法求最小零范数解,在变换域中用近邻法判断测试数据的类别.实验结果表明,用CS进行人脸识别,能避免特征选取的问题,且识别率高、运算速度快.
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| 关 键 词： | 压缩感知 表示矩阵 感知矩阵 稀疏 人脸识别 |
| 收稿时间： | 2011-02-21 |
Face Recognition Algorithm Using Compressive Sensing |
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| WEI Dong-mei,ZHOU Wei-dong. Face Recognition Algorithm Using Compressive Sensing[J]. Computer Engineering, 2011, 37(18): 10-11 |
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| Authors: | WEI Dong-mei ZHOU Wei-dong |
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| Affiliation: | WEI Dong-mei1,2,ZHOU Wei-dong1(1.School of Information Science and Engineering,Shandong University,Jinan 250100,China,2.School of Transmission,Shandong Normal University,Jinan 250014,China) |
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| Abstract: | This paper introduces the theory of Compressive Sensing(CS),and three main problems and their solutions when using CS for face recognition.The over complete dictionary is formed by using the training set,and the random matrix with Gaussian entries builds the sensing matrix with normal row vectors.In the test stage,the sensing matrix is projected onto the test vector,and the minimum l0-norm solution is computed with Orthogonal Matching Pursuit(OMP) algorithm.The distance between the reconstruction vector and... |
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| Keywords: | Compressive Sensing(CS) representation matrix sensing matrix sparsity face recognition |
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