Illumination invariant face recognition by non-local smoothing

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5707 LNCS, Issue , 2009, Pages 1-8

  Štruc, Vitomir ^a   Pavešić, Nikola ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Face recognition; Illumination invariance; Non local means; Retinex theory

Indexed keywords

FACE DATABASE; FACE RECOGNITION TECHNIQUE; ILLUMINATION CONDITIONS; ILLUMINATION INVARIANCE; ILLUMINATION INVARIANT; ILLUMINATION NORMALIZATION; ILLUMINATION VARIATION; IMAGE DATA; NONLOCAL; RETINEX THEORY;

BIOMETRICS;

FACE RECOGNITION;

EID: 77952028827     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04391-8_1     Document Type: Conference Paper

References (10)

1. Heusch, G., Cardinaux, F., Marcel, S.: Lighting Normalization Algorithms for Face Verification. IDIAP-com 05-103 (March 2005)
2. Jobson, D.J., Rahman, Z., Woodell, G.A.: Properties and Performance of a Center/ Surround Retinex. IEEE Transactions on Image Processing 6(3), 451-462 (1997) (Pubitemid 127768376)
3. Jobson, D.J., Rahman, Z., Woodell, G.A.: A Multiscale Retinex for Bridging the Gap Between Color Images and the Human Observations of Scenes. IEEE Transactions on Image Processing 6(7), 897-1056 (1997) (Pubitemid 127772284)
4. Wang, H., Li, S.Z., Wang, Y., Zhang, J.: Self Quotient Image for Face Recognition. In: Proc. of the Int. Conference on Pattern Recognition, pp. 1397-1400 (2004)
5. Gross, R., Brajovic, V.: An Image Preprocessing Algorithm for Illumination Invariant Face Recognition. In: Proc. of AVPBA 2003, pp. 10-18 (2003) (Pubitemid 36795763)
6. Land, E.H., McCann, J.J.: Lightness and Retinex Theory. Journal of the Optical Society of America 61(1), 1-11 (1971)
7. Short, J., Kittler, J., Messer, K.: Photometric Normalisation for Face Verification. In: Kanade, T., Jain, A., Ratha, N.K. (eds.) AVBPA 2005. LNCS, vol. 3546, pp. 617-626. Springer, Heidelberg (2005)
8. Park, Y.K., Park, S.L., Kim, J.K.: Retinex Method Based on Adaptive smoothing for Illumination Invariant Face Recognition. Signal Processing 88(8), 1929-1945 (2008)
9. Buades, A., Coll, B., Morel, J.M.: On Image Denoising Methods. Prepublication, http://www.cmla.ens-cachan.fr
10. Georghiades, A.G., Belhumeur, P.N., Kriegman, D.J.: From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose. IEEE TPAMI 23(6), 643-660 (2001)