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张量局部Fisher判别分析的人脸识别

郑建炜 王万良 姚晓敏 石海燕

郑建炜, 王万良, 姚晓敏, 石海燕. 张量局部Fisher判别分析的人脸识别. 自动化学报, 2012, 38(9): 1485-1495. doi: 10.3724/SP.J.1004.2012.01485
引用本文: 郑建炜, 王万良, 姚晓敏, 石海燕. 张量局部Fisher判别分析的人脸识别. 自动化学报, 2012, 38(9): 1485-1495. doi: 10.3724/SP.J.1004.2012.01485
ZHENG Jian-Wei, WANG Wan-Liang, YAO Xiao-Ming, SHI Hai-Yan. Face Recognition Using Tensor Local Fisher Discriminant Analysis. ACTA AUTOMATICA SINICA, 2012, 38(9): 1485-1495. doi: 10.3724/SP.J.1004.2012.01485
Citation: ZHENG Jian-Wei, WANG Wan-Liang, YAO Xiao-Ming, SHI Hai-Yan. Face Recognition Using Tensor Local Fisher Discriminant Analysis. ACTA AUTOMATICA SINICA, 2012, 38(9): 1485-1495. doi: 10.3724/SP.J.1004.2012.01485

张量局部Fisher判别分析的人脸识别

doi: 10.3724/SP.J.1004.2012.01485

Face Recognition Using Tensor Local Fisher Discriminant Analysis

  • 摘要: 子空间特征提取是人脸识别中的关键技术之一,结合局部Fisher判别分析技术和张量子空间分析技术的优点, 本文提出了一种新的张量局部Fisher判别分析(Tensor local Fisher discriminant analysis, TLFDA)子空间降维技术. 首先,通过对局部Fisher判别技术进行分析,调整了其类间散度目标泛函, 使算法的识别性能更高且时间复杂度更低;其次,引入张量型降维技术对输入数据进行双边投影变换而非单边投影, 获得了更高的数据压缩率;最后,采用迭代更新的方法计算最优的变换矩阵.通过ORL和PIE两个人脸库验证了所提算法的有效性.
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出版历程
  • 收稿日期:  2011-07-04
  • 修回日期:  2012-02-20
  • 刊出日期:  2012-09-20

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