Sparse representation for face images.

This thesis address issues for face recognition with multi-view face images. Several effective methods are proposed and compared with current state of the art. A novel framework that generalises existing sparse representation-based methods in order to exploit the sharing information to against pose variations of face images is proposed.

[1]  Jing Wang,et al.  CPGL: A classification method combining PCA and the Group Lasso method , 2010, 2010 IEEE International Conference on Image Processing.

[2]  M. Yuan,et al.  Model selection and estimation in regression with grouped variables , 2006 .

[3]  Arun Ross,et al.  A Mosaicing Scheme for Pose-Invariant Face Recognition , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[4]  Thomas S. Huang,et al.  Joint dynamic sparse representation for multi-view face recognition , 2012, Pattern Recognit..

[5]  Svetha Venkatesh,et al.  Improved Image Recovery From Compressed Data Contaminated With Impulsive Noise , 2012, IEEE Transactions on Image Processing.

[6]  Xiaoou Tang,et al.  Surpassing Human-Level Face Verification Performance on LFW with GaussianFace , 2014, AAAI.

[7]  Azriel Rosenfeld,et al.  Face recognition: A literature survey , 2003, CSUR.

[8]  Brian C. Lovell,et al.  Face Recognition Robust to Head Pose from One Sample Image , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[9]  Joel A. Tropp,et al.  Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.

[10]  Svetha Venkatesh,et al.  Visual Object Clustering via Mixed-Norm Regularization , 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

[11]  Zhengyou Zhang,et al.  A Survey of Recent Advances in Face Detection , 2010 .

[12]  Terence Sim,et al.  The CMU Pose, Illumination, and Expression (PIE) database , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

[13]  L Sirovich,et al.  Low-dimensional procedure for the characterization of human faces. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[14]  Jian Yang,et al.  Sparse Representation Classifier Steered Discriminative Projection , 2010, 2010 20th International Conference on Pattern Recognition.

[15]  Xiaofei He,et al.  Locality Preserving Projections , 2003, NIPS.

[16]  Allen Y. Yang,et al.  Sparsity and Robustness in Face Recognition , 2011, ArXiv.

[17]  Jian-Huang Lai,et al.  A Fast Extension for Sparse Representation on Robust Face Recognition , 2010, 2010 20th International Conference on Pattern Recognition.

[18]  Svetha Venkatesh,et al.  Mixed-norm sparse representation for multi view face recognition , 2015, Pattern Recognit..

[19]  Huan Xu,et al.  Noisy Sparse Subspace Clustering , 2013, J. Mach. Learn. Res..

[20]  Joel A. Tropp,et al.  Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit , 2006, Signal Process..

[21]  Licheng Jiao,et al.  An efficient matrix factorization based low-rank representation for subspace clustering , 2013, Pattern Recognit..

[22]  Zhi-Hua Zhou,et al.  Face recognition from a single image per person: A survey , 2006, Pattern Recognit..

[23]  S. Shankar Sastry,et al.  Generalized principal component analysis (GPCA) , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[24]  Shiliang Sun,et al.  A survey of multi-view machine learning , 2013, Neural Computing and Applications.

[25]  Rabab Kreidieh Ward,et al.  Classification via group sparsity promoting regularization , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[26]  R. Tibshirani.  Regression Shrinkage and Selection via the Lasso , 1996 .

[27]  Lei Du,et al.  Robust Multi-View Spectral Clustering via Low-Rank and Sparse Decomposition , 2014, AAAI.

[28]  Anders P. Eriksson,et al.  Is face recognition really a Compressive Sensing problem? , 2011, CVPR 2011.

[29]  Trac D. Tran,et al.  Robust Lasso With Missing and Grossly Corrupted Observations , 2011, IEEE Transactions on Information Theory.

[30]  Svetha Venkatesh,et al.  Joint learning and dictionary construction for pattern recognition , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[31]  Peng Zhao,et al.  On Model Selection Consistency of Lasso , 2006, J. Mach. Learn. Res..

[32]  Bernhard Schölkopf,et al.  Learning with Local and Global Consistency , 2003, NIPS.

[33]  Christopher M. Bishop,et al.  Mixtures of Probabilistic Principal Component Analyzers , 1999, Neural Computation.

[34]  Ulrike von Luxburg,et al.  A tutorial on spectral clustering , 2007, Stat. Comput..

[35]  Emmanuel J. Candès,et al.  A Geometric Analysis of Subspace Clustering with Outliers , 2011, ArXiv.

[36]  Marc Pollefeys,et al.  A General Framework for Motion Segmentation: Independent, Articulated, Rigid, Non-rigid, Degenerate and Non-degenerate , 2006, ECCV.

[37]  Allen Y. Yang,et al.  Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[38]  Alex Pentland,et al.  Face recognition using eigenfaces , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[39]  Rahimeh Rouhi.  A Review on Feature Extraction Techniques in Face Recognition , 2012 .

[40]  Mohan M. Trivedi,et al.  Head Pose Estimation in Computer Vision: A Survey , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[41]  Hongtao Lu,et al.  Non-negative and sparse spectral clustering , 2014, Pattern Recognit..

[42]  Yongsheng Gao,et al.  Face recognition across pose: A review , 2009, Pattern Recognit..

[43]  Ben Taskar,et al.  Joint covariate selection and joint subspace selection for multiple classification problems , 2010, Stat. Comput..

[44]  Hong Wei,et al.  Face Verification Using GaborWavelets and AdaBoost , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[45]  Shuicheng Yan,et al.  Visual classification with multi-task joint sparse representation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.