Fusion of visible and infrared images using empirical mode decomposition to improve face recognition

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 2049-2052

  Hariharan, Harishwaran ^a   Koschan, Andreas ^a   Abidi, Besma ^a   Gribok, Andrei ^b   Abidi, Mongi ^a  

^a UNIVERSITY OF TENNESSEE   (United States)

^b University of Tennessee Knoxville   (United States)

Author keywords

Face recognition; Image analysis

Indexed keywords

CUMULATIVE MATCH CHARACTERISTICS; DATA SETS; DATA-DRIVEN ANALYSIS; DECOMPOSITION LEVEL; EMPIRICAL MODE DECOMPOSITION; FACE RECOGNITION RATES; FUSED IMAGES; IMAGE FUSION TECHNIQUES; IMAGING MODALITY; INFRARED IMAGES; INTRINSIC MODE FUNCTIONS; NON-LINEAR; NON-PARAMETRIC; NONSTATIONARY SIGNALS; PRINCIPAL COMPONENT;

IMAGE ANALYSIS; IMAGE FUSION; IMAGING SYSTEMS; INFRARED IMAGING; PRINCIPAL COMPONENT ANALYSIS; WAVELET ANALYSIS;

FACE RECOGNITION;

EID: 78649839431     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312860     Document Type: Conference Paper

References (12)

1. S. Singh, A. Gyaourva, G. Bebis, and I. Pavlidis, "Infrared and Visible Image Fusion for Face Recognition", Proc. SPIE, vol. 5404, pp. 585-596, 2004.
2. H. Li, B.S. Manjunath, and S.K. Mitra, "Multisensor image fusion using the wavelet transform," Graphical Models and Image Processing, vol. 57, no. 3, pp. 235-245, 1995.
3. S.G. Kong, J. Heo, F. Boughorbel, Y. Zheng, B.R. Abidi, A. Koschan, and M.A. Abidi, "Multiscale Fusion of Visible and Thermal IR Images for Illumination-Invariant Face Recognition," International Journal of Computer Vision, (in press), 2006.
4. O. Rockinger and T. Fletcher, "Pixel-Level Image Fusion: The Case of Image Sequences," Proc. SPIE, vol. 3374, pp. 378-388, 1998.
5. P.J. Phillips, P. Grother, R.J. Michaels, D.M. Blackburn, E. Tabassi, and M. Bone, "Face Recognition Vendor Test 2002, Evaluation Report", pp. 1-16, 2003.
6. N.E. Huang, Z. Shen, S.R. Long, M.C. Wu, H.H. Shih, Q. Zheng, N-C. Yen, C.C. Tung, and H.H. Liu, "The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-Stationary Time Series Analysis," Proc. R. Soc. London. A., vol. 454, pp. 903-995, 1998.
7. A. Linderhed, "Image Compression Based on Empirical Mode Decomposition," Proc. of SSAB Symposium Image Analysis, Uppsala, pp. 110-113, 2004.
8. Z. Yang, D. Qi, and L. Yang, "Signal Period Analysis Based on Hilbert-Huang Transform and Its Application to Texture Analysis," Intl. Conf. Image and Graphic2, pp. 430-433, 2004.
9. H. Hariharan, A. Gribok, M. Abidi, and A. Koschan, "Image enhancement and fusion via Empirical Mode Decomposition", Journal of Pattern Recognition Research, vol.1, pp.16-32, 2006.
10. Haykin, S., Neural Networks: A Comprehensive Foundation. Prentice-Hall, Englewood Cliffs, NJ, 1999.
11. A. Selinger and D. Socolinsky, Appearance-based facial recognition using visible and thermal imagery: a comparative study, Technical Report 02-01, Equinox Corporation, 2002.
12. Stan, Z.L. and A.K. Jain (Eds.), Handbook of Face Recognition, Springer, 2005.