A compressive sensing approach for Expression-invariant face recognition

2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009

Volumn , Issue , 2009, Pages 1518-1525

  Nagesh, Pradeep ^a   Li, Baoxin ^a  

^a Arizona State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPRESSED SENSING; COMPUTER VISION;

COMPACT FEATURES; COMPRESSIVE SENSING; NOVEL TECHNIQUES; RANDOM MEASUREMENT; RANDOM PROJECTIONS; STATE OF THE ART; TRAINING FEATURES; TRAINING SAMPLE;

FACE RECOGNITION;

EID: 70450186137     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206657     Document Type: Conference Paper

References (18)

1. P. Belhumeur, J. Hespanha, D. Kriegman, "Eigenfaces vs. Fisherfaces: recognition using class specific linear projection", in: European Conference on Computer Vision, 1996, pp. 45-58.
2. W. Zhao, R. Chellppa, P. J. Phillips, A. Rosenfeld "Face Recognition: A Literature Survey" ACM Computing Surveys, Vol. 35, No. 4, December 2003, pp. 399-458.
3. J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma. "Robust face recognition via sparse representation". IEEE Trans. PAMI [DOI 10.1109/TPAMI.2008.79].
4. J. Huang, X. Huang, D. Metaxas, "Simultaneous Image Transformation and Sparse Representation Recovery" IEEE Conf. on CVPR, Anchorage, AK, June 2008.
5. D. Baron, M. Duarte, S. Sarvotham, M. B. Wakin, and R. G. Baraniuk, "Distributed compressed sensing, " Tech. Rep. TREE0612, Rice University, Online at: http://dsp.rice.edu/cs/.
6. E J. Candès and M B. Wakin "An Introduction to Compressive Sampling", IEEE Signal Proc. Magazine, Vol. 25, Issue 2, March 2008, pp. 21-31.
7. X. Liu, T.Chen and B.V.K. Vijaya Kumar, "Face Authentication for Multiple Subjects Using Eigenflow" Pattern Recognition, Volume 36, Issue 2, February 2003, pp. 313-328.
8. M. J. Lyons, S. Akamatsu, M. Kamachi, J. Gyoba "Coding Facial Expressions with Gabor Wavelets" IEEE Int Conf. on Auto. Face and Gesture Recognition, Nara, Japan, April, 1998.
9. Kanade, T., Cohn, J.F., & Tian, Y. "Comprehensive database for facial expression analysis" IEEE Int. Conf. on Automatic Face and Gesture Recognition, Grenoble, France, 2000.
10. M. F. Duarte, S. Sarvotham, D. Baron, M. B. Wakin and R. G. Baraniuk, "Distributed Compressed Sensing of Jointly Sparse Signals", 39th Asilomar Conference on Signals, Systems and Computer (IEEE Cat. No.05CH37761), 2005, pp. 1537-41.
11. M. Figueiredo, R. Nowak, and S. Wright. "Gradient projection for sparse reconstruction: application to compressed sensing and other inverse problems". IEEE Journal on Selected Topics in Signal Processing, 2007, Vol 1, Issue 4, pp. 586-597.
12. E. Candès and J. Romberg, "Practical signal recovery from random projections". Wavelet Applications in Signal and Image Processing XI, Proc. SPIE Conf. 5914.
13. E. Candès, J. Romberg, and T. Tao. "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information". IEEE Trans. Inf. Theory, 52:489-509, 2006.
14. E. Candès and T. Tao. "Near-optimal signal recovery from randomprojections: Universal encoding strategies?" IEEE Trans. on Information Theory, 52(12):5406-5425, 2006.
15. D. L. Donoho, "Compressed sensing, " IEEE Trans. Inform. Theory, vol. 52, July 2006, pp. 1289-1306.
16. E. Candès, J. Romberg, and T. Tao, "Stable signal recovery from incomplete and inaccurate measurements, " Comm. on Pure and Applied Math, vol. 59, no. 8, 2006, pp. 1207-1223.
17. S. Kim, K. Koh, M. Lustig, S. Boyd, and D. Gorinvesky. "A method for large-scale ℓ 1-regularized least squares problems with applications in signal processing and statistics, " IEEE J. Selected Topics in Signal Processing, 1(4):606-617, Dec 2007.
18. 1-magic: Recovery of Sparse Signals via Convex Programming" User Guide, 11-magic software, Available at http://www.acm.caltech.edu/11magic/.