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改进的基于残差加权的稀疏表示人脸识别 被引量：3

Improved Face Recognition Based on Sparse Representation with Weighted Residuals
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摘要 为进一步有效提升稀疏表示人脸识别系统的识别率和可靠性,在分析人脸图像稀疏表示系数分类能力的基础上,提出了一种基于残差加权的稀疏表示人脸识别新方法.该方法通过对类残差图像关于所属类稀疏表示系数的l2范数进行归一化加权,有效提升了原始基于类残差判决的识别能力.仿真实验结果表明:改进的基于残差加权的稀疏表示方法能够有效提高系统的识别性能. To further enhance the performance of SRFR, an improved sparse representation classification （SRC） method for face recognition based on weighted residuals （WR） is proposed on the basis of analyzing the classification capability of sparse representation coefficients. The recognition capability of the original SRC is efficiently promoted by WR with 12- norm of sparse representation coefficients. Simulation experimental results show that the recognition performance of WR based SRC can he considerably increased.
作者 高志荣 熊承义 笪邦友
机构地区 中南民族大学计算机科学学院 中南民族大学电子信息工程学院
出处 《中南民族大学学报（自然科学版）》 CAS 2012年第3期72-76,共5页 Journal of South-Central University for Nationalities：Natural Science Edition
基金 国家自然科学基金资助项目(60972081) 湖北省自然科学基金重点资助项目(2009CDA139) 中南民族大学中央专项基金(CZY12006)
关键词 人脸识别 稀疏表示 残差加权 face recognition sparse representation weighted residuals
分类号 TP391.4 [自动化与计算机技术—计算机应用技术]
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参考文献9

  • 1Candes E J, Wakin M B. An introduction to compressive sampling [ J ]. IEEE Signal Processing Magazine, 2008, 25(2) :21-30.
  • 2Wright J, Yang A, Ganesh A. Robust face recognition via sparse representation [ J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31 (2) :210-227.
  • 3Patel V M, Wu T, Biswas S . Dictionary-based face recognition under variable lighting and pose [ J ]. IEEE Transactions on Information Forensics and Security, 2012, 7 (3) :954-965.
  • 4Qiao L S, Chen S C, Tan X Y. Sparsity preserving projections with applications to face recognition [ J ]. Pattern Recognition, 2010, 43 ( 1 ) :331-341.
  • 5Yang M, Zhang L, Yang J. Metaface learning for sparse representation based face [ C ]//IEEE. IEEE ICIP. Hong Kong : IEEE, 2010 : 1601-1604.
  • 6Yang J C, Yu K, Gong Y. Linear spatial pyramid matching using sparse coding for image classification [ C ]//IEEE. IEEE CVPR. USA: IEEE, 2009: 1794-1801.
  • 7Gao S I, Tsang I W, Liang T. Local features are not lonely-Laplacian sparse coding for image classification [ C ]//IEEE. IEEE CVPR. USA: IEEE, 2010: 3555-3561.
  • 8Nasseem I, Togncri R, Bennamoun M. Linear regression for face recognition [ J ]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2010, 32( 11 ) :2106-2112.
  • 9Wagner A, Wright J, Ganesh A. Towards a practical face recognition system: robust registration and illumination by sparse representation [ C ]//IEEE. IEEE CVPR. USA: IEEE, 2009:597-604.

同被引文献38

  • 1欧阳怡彪,蒲晓蓉,章毅.基于小波和非负稀疏矩阵分解的人脸识别方法[J].计算机应用研究,2006,23(10):159-162. 被引量：7
  • 2VIDIN SUJITH M, VINOTH R, SATHISHKUMAR M. Illumination and pose variation across face recognition using local mapping analy- sis [ EB/OL]. [ 2013- 08- 21 ]. http://www, ijert, org/browse/ volume- 2- 2013/march- 2013-edition? download = 2765% 3 Aillumination-and-pose-variation-across-face-recognition-using-lo- cal-mapping-analysis&start --- 200.
  • 3LU C Y, MIN H, GUI J, et al. Face recognition via weighted sparse representation [ J]. Journal of Visual Communication and Im- age Representation, 2013, 24(2) : 111 - 116.
  • 4WANG S-J, YANG J, SUN M-F, et al. Sparse tensor discriminantcolor space for face verification [ J]. IEEE Transactions on Neural Networks and Learnin, Systems. 2012. 23(6): 876 -888.
  • 5SURBHI, ARORA V. ROI segmentation for feature extraction from human facial images [ EB/OL]. [2013-07-20]. http://arxiv, org/ pdf/1207. 2922. pdf.
  • 6WRIGHT J, YANG A Y, GANESH A, et al. Robust face recogni- tion via sparse representation [ J]. IEEE Transactions on Pattern A- nalysis and Machine Intelligence, 2009, 31(2): 210-227.
  • 7LI C G, GUO J, ZHANG H G. Local sparse representation based classification [ C]// ICPR 2010: Proceedings of the 20th Interna- tional Conference on Pattern Recognition. Piscataway: IEEE, 2010: 649 - 652.
  • 8HUANG J B, YANG M H. Fast sparse representation with proto- types [ C]//CVPR 2010: Proceedings of the 2010 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2010:3618-3625.
  • 9YANG M, ZHANG L, YANG J, et al. Robust sparse coding tor face recognition [ C]//CVPR 2011 : Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition. Piscat- away: IEEE, 2011:625-632.
  • 10YANG M, ZHANG L. Gabor feature based sparse representation for face recognition with Gabor occlusion dictionary [ M]// Computer Vision -- ECCV 2010: Proceedings of the l lth European Confer- ence on Computer Vision, LNCS 6316. Berlin: Springer-Verlag, 2010:448-461.

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中南民族大学学报（自然科学版）
2012年 第3期

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