Abstract
Further to previous work showing the superiority of the pre-processing algorithm developed by Gross and Brajovic, we propose improvements that remove the need for parameter selection. In extensive experimentation on the XM2VTS database, the Yale B database and the BANCA database, we show that our method of automatic parameter selection can produce better results than setting the parameter to a single value for the whole database.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Acton, S.: Multigrid Anisotropic Diffusion. IEEE Trans. Image Processing 7 (1998)
Adini, Y., Moses, Y., Ullman, S.: Face recognition: the problem of compensating for illumination changes. IEEE Trans. Pattern Anal. Mach. Intelligence 19(7), 721–732 (1997)
Bailly-Bailliere, E., et al.: The BANCA Database and Evaluation Protocol. In: Kittler, J., Nixon, M.S., et al. (eds.) AVBPA 2003. LNCS, vol. 2688, Springer, Heidelberg (2003)
Basri, R., Jacobs, D.: Lambertian Reflectance and Linear Subspaces. IEEE Trans. Pattern Anal. Mach. Intelligence 25(2), 218–233 (2003)
Belhumeur, P., Kriegman, D.: What is the Set of Images of an Object Under All Possible Lighting Conditions? In: IEEE Proc. Conf. Computer Vision and Pattern Recognition (1996)
Briggs, W., Henson, V., McCormick, S.: A Multigrid Tutorial, 2nd edn. SIAM, Philadelphia
Georghiades, P., Belhumeur, D.: Kriegman, “From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose. IEEE Trans. Pattern Anal. Mach. Intelligence 23, 643–660 (2001)
Gonzalez, R., Woods, R.: Digital Image Processing, 2nd edn. Prentice Hall, Englewood Cliffs
Gross, R., Brajovic, V.: An Image Preprocessing Algorithm. In: Kittler, J., Nixon, M.S. (eds.) AVBPA 2003. LNCS, vol. 2688, pp. 10–18. Springer, Heidelberg (2003)
Horn, B.: Robot Vision. MIT Press, Cambridge (1998)
Kee, S., Lee, K., Lee, S.: Illumination Invariant Face Recognition Using Photometric Stereo. IEICE Trans. Inf & Syst Vol.E83-D No.7 (2000)
Kittler, J., Li, Y.P., Matas, J.: Face verification using client specific Fisher faces. In: The Statistics of Directions, Shapes and Images, pp. 63–66 (2000)
Land, E., McCann, J.: Lightness and Retinex Theory. Journal of the Optical Society of America 61, 1–11 (1971)
Lee, K., Ho, J., Kriegman, D.: 9 Points of Light: Aquiring Subspaces for Face Recognition Under Variable Lighting. In: IEEE Proc. Conf. Computer Vision and Pattern Recognition (2001)
Messer, K., Matas, J., Kittler, J.: XM2VTSDB: The extended M2VTS Database. In: AVBPA (1999)
Rahman, Z., Woodell, G., Jobson, D.: A Comparison of the Multiscale Retinex with other Image Enhancement Techniques. In: Proceedings of the IS&T 50th Anniversary Conference (1997)
Ramamoorthi, R.: Analytic PCA Construction for Theoretical Analysis of Lighting Variability, including Attached Shadows, in a Single Image of a Lambertian Object. IEEE Trans. Pattern Anal. Mach. Intelligence 24(10), 1322–1333 (2002)
Short, J., Kittler, J., Messer, K.: A Comparison of Photometric Normalisation Algorithms for Face Verification. In: Proc. Automatic Face and Gesture Rocgnition, pp. 254–259 (2004)
Turk, M., Pentland, A.: Eigenfaces for Recognition. J. Congitive Neuroscience 3, 71–86 (1991)
Vasilescu, M., Terzopoulos, D.: Multilinear analysis of image ensembles: TensorFaces. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2350, pp. 447–460. Springer, Heidelberg (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Short, J., Kittler, J., Messer, K. (2005). Photometric Normalisation for Face Verification. In: Kanade, T., Jain, A., Ratha, N.K. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2005. Lecture Notes in Computer Science, vol 3546. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527923_64
Download citation
DOI: https://doi.org/10.1007/11527923_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27887-0
Online ISBN: 978-3-540-31638-1
eBook Packages: Computer ScienceComputer Science (R0)