Gabor wavelet based modular PCA approach for expression and illumination invariant face recognition

Proceedings - Applied Imagery Pattern Recognition Workshop

Volumn , Issue , 2006, Pages

  Gudur, Neeharika ^a   Asari, Vijayan ^a  

^a Old Dominion University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; IMAGE ENHANCEMENT; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; STANDARDS;

DIFFERENT SCALES; DIMENSIONALITY REDUCTION; FACE DATABASES; FACE IMAGES; GABOR WAVELETS; ILLUMINATION INVARIANTS; LOCALIZED FEATURES; MODULAR PCA; RECOGNITION RATES; SUB-IMAGES; TRADITIONAL TECHNIQUES;

FACE RECOGNITION;

EID: 48649085486     PISSN: 15505219     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AIPR.2006.24     Document Type: Conference Paper

References (21)

1. L. Sirovich and M. Kirby, "Low-dimensional procedure for the characterization of human faces," J.Oct. Soc. Amer. vol.4, no 3, March 1987, pp.519-524.
2. M. Turk and A Pentland, "Eigenfaces for recognition," J.Cognitive Neuroscience, March 1991, PP.71-86.
3. B. Moghaddam and A. Pentland, "Probabilistic visual learning for object representation," IEEE Trans. Pattern Anal.Machine Intell., vol. PAMI-19, no.7, July 1997, pp. 696-710.
4. R. Gottumukkal, K.V. Asari, "An improved face recognition technique based on modular PCA approach," Pattern recog.Letters, vol.25, 2004, pp.429-436.
5. P. Belhumer, J. Hespanha, D. Kriegman, "Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection", Proc. of the Fourth European Conference on Computer Vision, vol.1, April 1996, Cambridge, UK, pp.45-58.
6. A. Martez, A. Kak, "PCA versus LDA," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.23, no. 2, February 2001, pp.228-233.
7. M.S. Bartlett, J.R. Movellan, T.J. Sejnowski, "Face recognition by independent component analysis," IEEE Trans. on Neural Networks, vol.13, no.6, November 2002, pp.1450-1464.
8. M. Turk, "A Random walk through Eigenspace," IEICE Trans. Inf. & Syst., vol. E84-D, no.12, December 2001, pp.1586-1595.
9. H. Murase, S. Nayar, "Visual learning and recognition of 3-D objects from appearance," Int. J. Computer Vision, vol. 14, 1995, pp. 5-24.
10. M. Turk, A. Pentland, "Face recognition using Eigenfaces," Proc of the IEEE Conf on Computer Vision and Pattern Recognition, June 1991, pp.586-591.
11. K. Delac, M. Grgic, and P. Liatsis, "Appearance-based statistical methods for face recognition".
12. B. Moghaddam, A. Pentland, T. Starner "View-based and modular eigen spapces for face recognition," Proc.IEEE Conf. on Computer Vision and Pattern Recognition, June 1994.
13. M. Zhou and H.Wei, "Face verification using Gabor wavelets and Adaboost".
14. M. J Lyons, J. Budney, and S. Akamatsu, "Automatic classification of single facial images".
15. L. Shen and L. Bai, "Gabor feature based face recognition using kernal methods".
16. P. Sankaran and K.V. Asari, "A multi-view approach on modular PCA for illumination and pose invariant face recognition".
17. M. A. Bhuiyan, V. Ampornaramveth, S. Muto, H Ueno, "Face detection and Facial Feature Localization for Human-machine Interface," NII Journal, vol. 5, no.3, 2003.
18. Z. Buik, S Loncaric, "Face recognition from multi-pose image sequence," Proc. 2nd Int. Symposium on Image and Signal Processing and Analysis, 2001.
19. D B Graham and L M Allinson, "Characterizing Virtual Eigen signatures for general purpose face recognition," NATO ASI series F, Computer and System Sciences, vol. 163, H. Wechsler, P. J. Phillips, V. Bruce, F. Fogelman-Soulie and T. S. Huang (eds), pp 446-456, 1998.
20. T. Sim, S. Baker, M. Bsat, "The CMU Pose, Illumination and Expression (PIE) Database," Intl. Conf. on Face and Gesture Recognition, 2002.
21. P.N. Belhumeur & J.P. Hespanha & D.J. Kriegman, "Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection", PAMI Special Issue on Face Recognition, vol. 19, no. 7, July 1997, pp. 711-720.