REFERENCES

Papers on Face Recognition
  1. Robust Face Recognition via Sparse Representation,
    2. John Wright, Allen Yang, Arvind Ganesh, Shankar Sastry, and Yi Ma. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 31, no. 2, February 2009.

  2. Towards a Practical Face Recognition System: Robust Registration and Illumination via Sparse Representation,
    3. Andrew Wagner, John Wright, Arvind Ganesh, Zihan Zhou, and Yi Ma. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2009.

  3. Face Recognition with Contiguous Occlusion using Markov Random Fields,
    4. Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wright, and Yi Ma. IEEE International Conference on Computer Vision (ICCV), 2009.
Papers on Supporting Theory from Sparse Representation
  1. Minimum Sum of Distances Estimator: Robustness and Stability,
    2. Yoav Sharon, John Wright, and Yi Ma. American Control Conference (ACC), June 2009.

  2. Dense Error Correction via L1-minimization,
    3. John Wright, and Yi Ma. Submitted to IEEE Transactions on Information Theory, August 2008.

  3. Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices by Convex Optimization,
    4. John Wright, Arvind Ganesh, Shankar Rao, and Yi Ma. Submitted to Journal of the ACM, May 2009.

  4. Separation of a Subspace-Sparse Signal: Algorithms and Conditions,
    5. Arvind Ganesh, Zihan Zhou, and Yi Ma. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2009.
Other Applications of Sparse Representation
  1. Motion Segmentation via Robust Subspace Separation in the Presence of Outlying, Incomplete, or Corrupted Trajectories,
    2. Shankar Rao, Roberto Tron, Rene Vidal, and Yi Ma. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2008.

  2. Image Super-Resolution as Sparse Representation of Raw Image Patches,
    3. Jianchao Yang, John Wright, Thomas Huang, and Yi Ma. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2008.

  3. Face Hallucination via Sparse Coding,
    4. Jianchao Yang, Hao Tang, Yi Ma, and Thomas Huang. IEEE International Conference on Image Processing (ICIP), October 2008.

  4. Distributed Segmentation and Classification of Human Actions Using a Wearable Motion Sensor Network,
    5. Allen Yang, Roozbeh Jarafi, Philip Kuryloski, Sameer Iyengar, Shankar Sastry, and Ruzena Bajcsy. Workshop on Human Communicative Behavior Analysis, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2008.

  5. Data-Driven Image Completion by Image Patch Subspaces,
    6. Hossein Mobahi, Shankar Rao, and Yi Ma. Picture Coding Symposium (PCS), May 2009.

  6. Distributed Video Coding using Compressive Sampling,
    7. Josep Prades-Nebot, Yi Ma, and Thomas Huang. Picture Coding Symposium (PCS), May 2009.

Related References and Resources by Others
Sparse Representation

Papers
  1. For Most Large Underdetermined Systems of Linear Equations, the minimal L1-norm solution is also the sparsest solution, David Donoho.

  2. Highly robust error correction by convex programming, E. J. Candès and P. Randall.

  3. Neighborly Polytopes and Sparse Solutions of Underdetermined Linear Equations, David Donoho.

Related software
  1. L1-Magic

  2. SparseLab

Face Recognition

Papers
  1. Face Recognition: A Literature Survey, W. Zhao, R. Chellappa, J. Phillips, and A. Rosenfeld.

  2. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection, P. Belhumeur, J. Hespanha, D. Kriegman.

  3. Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling, S. Fidler, D. Skocaj, A. Leonardis.

Face Databases
  1. AR Database

  2. Extended Yale Database

Related websites
  1. Face Recognition Homepage

  2. Compressed Sensing Resources

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