Face verification and rejection with illumination variations using MINACE filters

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5437, Issue , 2004, Pages 277-287

  Patnaik, Rohit ^a   Casasent, David ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Authentication; Biometrics; Correlation filters; Face recognition; Face verification; Minimun noise and average correlation energy (MINACE) filter; Pattern recognition

Indexed keywords

AUTHENTICATION; BIOMETRICS; CORRELATION FILTERS; MINIMUM NOISE AND AVERAGE CORRELATION ENERGY (MINACE);

DATABASE SYSTEMS; IMAGE ANALYSIS; LAGRANGE MULTIPLIERS; LIGHTING; MATRIX ALGEBRA; OPTICAL CORRELATION; PERSONNEL TRAINING; SIGNAL PROCESSING; SYNTHESIS (CHEMICAL); VECTORS;

FACE RECOGNITION;

EID: 3843149352     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.548082     Document Type: Conference Paper

References (15)

1. G. Ravichandran and D. Casasent, "Minimum noise and correlation energy filters," Appl. Opt. 31, pp. 1823-1833, April 1992.
2. T. Sim, S. Baker, and M. Bsat, "The CMU Pose, Illumination, and Expression (PIE)Database", Proc. Of the IEEE International Conference on Automatic Face and Gesture Recognition, May 2002.
3. M. Savvides, B.V.K. Vijaya Kumar and P.K. Khosla, "Face verification using correlation filters," Proc. Of the Third IEEE Workshop on Automatic Identification Advanced Technologies, pp. 56-61, Tarrytown, NY, March 2002.
4. M. Savvides, B.V.K. Vijaya Kumar, "Illumination-tolerant face recognition using advanced correlation filters," submitted to Computer Vision and Pattern Recognition, 2003.
5. P.N. Belhumeur, J.P. Hespanha, and D.J. Kriegman, "Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection," IEEE Trans. on Pattern Analysis and Machine Intelligence 19(7), pp. 711-720, July 1997.
6. A. Pentland, B. Moghaddam, and T. Starner, "View-based and modular Eigenspaces for face recognition," Computer Vision and Pattern Recognition, pp. 84-91, June 1994.
7. D. Casasent and C. Yuan, "Face recognition with pose and illumination variations using new SVRDM support vector machine," Proc. SPIE 5437, paper 1, April 2004.
8. R. Gross, I. Matthews, and S. Baker, "Appearance-based face recognition and Light-fields," IEEE Trans. on Pattern Analysis and Machine Intelligence 26(4), April 2004.
9. V. Blanz, S. Romdhani, and T. Vetter, "Face identification across different poses and illuminations with a 3D morphable model," Proc. Of the Fifth IEEE Conference on Automatic Face and Gesture Recognition, pp. 202-207, May 2002.
10. A.S. Georghiades, P.N. Belhumeur, D.J. Kriegman, "From few to many: Illumination cone models for face recognition under variable lighting and pose," IEEE Trans. on Pattern Analysis and Machine Intelligence 23(6), pp. 643-660, June 2001.
11. G. L. Marcialis and F. Roli, "Fusion of LDA and PCA for face verification," in Biometric Authentication, vol. LNCS 2359, pp. 30-37, June 2002.
12. A. Shashua and T. Riklin-Raviv, "The quotient image: Class-based re-rendering and recognition with varying illuminations," IEEE Trans. on Pattern Analysis and Machine Intelligence 23(2), pp. 129-139, February 2001.
13. D. Casasent and R. Shenoy, "Synthetic aperture radar detection and clutter rejection MINACE filters," Pattern Recognition 30(1), pp. 151-161, 1997.
14. D. Casasent and S. Ashizawa, "Synthetic aperture radar detection, recognition, and clutter rejection with new minimum noise and correlation energy filters," Optical Engineering 36, pp. 2729-2736, October 1997.
15. D. Casasent, K, Ippolito, and J. Verley, "Distortion-invariant FOPEN detection filter improvements," in Algorithms for Synthetic Aperture Radar Imagery VI, E. Zelnio, ed., Proc. SPIE 3721, pp 261-271, 1999.