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电子学报  2013 

基于低秩子空间恢复的联合稀疏表示人脸识别算法

DOI: 10.3969/j.issn.0372-2112.2013.05.024, PP. 987-991

Keywords: 人脸识别,稀疏表示,联合稀疏,低秩子空间恢复

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Abstract:

针对阴影、反光及遮挡等原因破坏图像低秩结构这一问题,提出基于低秩子空间恢复的联合稀疏表示识别算法.首先将每个个体的所有训练样本图像看作矩阵D,将矩阵D分解为低秩矩阵A和稀疏误差矩阵E,其中A表示某类个体的'干净’人脸,严格遵循子空间结构,E表示由阴影、反光、遮挡等引起的误差项,这些误差项破坏了人脸图像的低秩结构.然后用低秩矩阵A和误差矩阵E构造训练字典,将测试样本表示为低秩矩阵A和误差矩阵E的联合稀疏线性组合,利用这两部分的稀疏逼近计算残差,进行分类判别.实验证明该稀疏表示识别算法有效,识别精度得到了有效提高.

References

[1]  Wright J,Yang A Y,Ma Yi,et al.Robust face recognition via sparse fepresentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2009,31(2):210-227
[2]  Mao X Nguyen,Quang M Le,Vu Pham,Trung N Tran,Bac H Le.Multi-scale sparse representation for robust face recognition .Third International Conference on Knowledge and Systems Engineering .Hanoi:Viet nam,2011.195-199.
[3]  Yang Meng,Zhang Lei.Gabor feature based sparse representation for face recognition with gabor occlusion dictionary .Europeon Conference on Computer Vision .Greece :Crete Heraklion,2010.448-461.
[4]  Yang Meng,Zhang Lei,Jian Yang David Zhang.Robust sparse coding for face recognition .IEEE Conference on Computer Vision and Pattern Recognition .United states:Colorado Springs,2011.625-632.
[5]  Patel V M,Tao Wu,Biswas S,Phillips P J,Chellappa R.Dictionary-based face recognition under variable lighting and pose[J].IEEE Transactions on Information Forensics and Security,2012,7(3):954-965.
[6]  Deng Weihong,Hu Jiani,Guo Jun.Extended SRC:Undersampled face recognition via intra-class variant dictionary[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(9):1864-1870.
[7]  Emmanuel Candès,Xiaodong Li,Yi Ma,John Wright.Robust principal component aAnalysis[J]?Journal of the ACM,2011,58(3):1101-1137.
[8]  亓晓振,王庆.一种基于稀疏编码的多核学习图像分类方法[J].电子学报,2012,40(4):773-779. Qi Xiaozhen,Wang Qing.An image classification approach based on sparse coding and multiple kernel learning[J].Acta Electronica Sinica,2012,40(4):773-779.(in Chinese)
[9]  Allen Yang,Arvind Ganesh,Shankar Sastry,Ma Yi.Fast L1-minimization algorithms and an application in robust face recognition:a review .IEEE International Conference on Image Processing .Hong Kong 2010,1849-1852.
[10]  付宁,乔立岩,曹离然.面向压缩感知的块稀疏度自适应迭代算法[J].电子学报,2011,39(3A):75-79. Fu Ning,Qiao Liyan,Cao Liran.Block sparsity adaptive iteration algorithm for compressed sensing[J].Acta Electronica Sinica,2011,39(3A):75-79.(in Chinese)
[11]  Zhang Nan,Yang Jian.K nearest neighbor based local sparse representation classifier .Proc of the 2010 Chinese Conference on Pattern Recognition .China:Chongqing,2010.400-404.
[12]  Wagner A,Wright J,Ganesh A,Zhou Zihan,Ma Yi.Towards a practical face recognition system:Robust registration and illumination by sparse representation .IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops .United states:Miami,FL,2009.597-604.
[13]  Vishal M Patel,Tao Wu,Soma Biswas,P Jonathon Phillips.Illumination robust dictionary-based face recognition .IEEE International Conference on Image Processing .Belgium:Brussels,2011.777-780.
[14]  John Wright,Peng Yigang,Ma Yi.Robust principal component analysis:exact recovery of corrupted low-rank matrices by convex optimization .23rd Annual Conference on Neural Information Processing Systems .United states:Vancouver BC,2009.2080-2088.

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