Application of bidirectional two-dimensional principal component analysis to curvelet feature based face recognition

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn , Issue , 2009, Pages 4124-4130

  Mohammed, Abdul A ^a   Wu, Q M Jonathan ^a   Sid Ahmed, Maher A ^a  

^a UNIVERSITY OF WINDSOR   (Canada)

Author keywords

AdaBoost; Discrete curvelet transform; Multi resolution tools; Principal component analysis

Indexed keywords

ADABOOST; CLASSIFICATION TASKS; COVARIANCE MATRICES; CURVELET TRANSFORMS; CURVELETS; FACE RECOGNITION ALGORITHMS; FEATURE BASED FACE RECOGNITION; FEATURE SETS; FEATURE SUBSPACE; FEATURE VECTORS; HUMAN FACE RECOGNITION; LINEAR PRINCIPAL COMPONENT; MULTI-RESOLUTION TOOLS; MULTI-RESOLUTIONS; STATE OF THE ART; STILL IMAGES; SUB-BANDS; TRAINING SAMPLE; TWO DIMENSIONAL PRINCIPAL COMPONENT ANALYSIS (2DPCA);

ADAPTIVE BOOSTING; COVARIANCE MATRIX; CYBERNETICS; DATA HANDLING; EDGE DETECTION; FACE RECOGNITION; TWO DIMENSIONAL; WAVELET ANALYSIS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 74849129259     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2009.5346723     Document Type: Conference Paper

References (28)

1. B. S. Manjunath, R. Chellappa and C. V. Malsburg, "A feature based approach to face recognition," Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, 1992, pp. 373-378.
2. G. Chow and X. Li, "Towards a system for automatic facial feature detection," Pattern Recognition 26(12), 1993, pp. 1739-1755.
3. A. Pentland, B. Moghaddam and T. Starner, "View-based and modular eigenspaces for face recognition," Proc. IEEE Conf. Computer Vision and Pattern Recognition, Seattle, 1994, pp. 84-91.
4. D. L. Swets and D. L. Weng, "Using discriminant eigenfeatures for image retrieval," IEEE Trans. Pattern Anal. Mach. Intell. 18(8), 1996, pp. 831-836.
5. F. Goudail, E. Lange, T. Iwamoto, K. Kyuma and N. Otsu, "Face recognition system using local autocorrelations and multiscale integration," IEEE Trans. Pattern Anal. Mach. Intell. 18(10), 1996, pp. 1024-1028.
6. W. Zhao, R. Chellappa, A. Rosenfeld and P. J. Phillips, "Face recognition: a literature survey," ACM Computing Surveys, 2003, pp. 399-458.
7. M. Kirby and L. Sirovich, "Application of the Karhunen-Loeve procedure for the characterization of human faces," IEEE Trans. Pattern Anal. Mach. Intell. 12, 1990, pp. 103-108.
8. L. Wiskott, J.M. Fellus, N. Kruger, and C. Von der Malsburg, "Face Recognition by Elastic Bunch Graph Matching," IEEE Trans. on PAMI, Vol. 19, no.7, 1997, pp. 775-779.
9. J. Yang, D. Zhang, A. F. Frangi and J.Yang, "Two-dimensional PCA: a new approach to appearance based face representation and recognition," IEEE Trans. Pattern Anal. Mach. Intell. 26(1), 2004, pp. 131-137.
10. 2 PCA: Two-directional two-dimensional PCA for efficient face representation and recognition," Neurocomputing, Vol. 69, No. 1-3, 2005, pp. 224-231.
11. M. N. Do and M. Vetterli, "The contourlet transform: An efficient directional multiresolution image representation," IEEE trans. on image processing, 14(12), 2005, pp. 2091-2106.
12. M. N. Do and M. Vetterli, "The finite ridgelet transform for image representation," IEEE trans on image processing. 12(1), 2003, pp. 16-28.
13. E. J. Candès, L. Demanet, D. L. Donoho and L. Ying, "Fast discrete curvelet transforms," Multiscale Model. Simul.,2005, pp. 861-899.
14. J. L. Starck, N. Aghanim and O. Forni, "Detecting cosmological non-Gaussian signatures by multi-scale methods," Astronomy and Astrophysics 416(1), 2004, pp. 9-17.
15. J. L. Starck, M. Elad and D. L. Donoho, "Redundant multiscale transforms and their application for morphological component analysis," Advances in Imaging and Electron Physics 132, 2004, pp. 287-342.
16. F. J. Herrmann and E. Verschuur, "Separation of primaries and multiples by non-linear estimation in the curvelet domain," EAGE 66th Conference & Exhibition Proceedings,2004.
17. H. Douma and M. V. Hoop, "Wave-character preserving prestack map migration using curvelets," Presentation at the Society of Exploration Geophysicists, Denver, 2004.
18. T. M. Cover, "Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition," IEEE Transaction on Electronic Computers, 14(3), 1965, pp. 326-334.
19. G. C. Feng, P. C. Yuen and D. Q. Dai, "Human face recognition using PCA on wavelet subband," Journal of Electronic Imaging, 9(2), 2000, pp. 226-233.
20. T. Mandal and Q. M. J. Wu., "Face Recognition using Curvelet Based PCA," ICPR, Tampa, 2008.
21. Y. Freud and R. E. Schapire, "A decision theoretic generalization of online learning and an application to boosting," Journal of Computer and system sciences 55, 1997, 119-139.
22. L. G. Valiant, "A theory of learnable," Artificial intelligence and language processing, Vol 27, 1984, 134-142.
23. S. Ali and M. Shah, "A supervised learning framework for generic object detection in images," International conference on Computer Vision, China, Oct. 2005.
24. http://www.itl.nist.gov/iad/humanid/feret/feret-master.html
25. http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html
26. http://www.anefian.com/face-reco.htm
27. http://cswww.essex.ac.uk/mv/allfaces/index.html
28. http://www.kasrl.org/jaffe.html