DIFFUSION FILTERING FOR ILLUMINATION INVARIANT FACE RECOGNITION - Illumination Approximation with Diffusion Filters within Retinex Context

Peter Dunker, Melanie Keller

2008

Abstract

Face recognition becomes a very important technology in recent years for a lot of various applications. One major problem of the most state-of-the-art algorithms are different lightning conditions which can decrease recognition rates dramatically. To reduce the influence of illumination in the recognition process normalization methods can be used. In this paper we introduce illumination normalization algorithms based on diffusion filters. Further we compare our approaches with selected established algorithms. Finally we present our evaluation results based on well known face recognitions techniques and an appropriate face database. The results show that the diffusion filter approaches outperforms all other algorithms which demonstrates the capabilities of the diffusion filter technology for illumination normalization in face recognition.

References

  1. Adini, Y., Moses, Y., and Ullman, S. (1997). Face recognition: The problem of compensating for changes in illumination direction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7):721-732.
  2. Belhumeur, P. N., Hespanha, J. P., and J.Kriegman, D. (1997). Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7):711-720.
  3. Cohen, M. A. and Grossberg, S. (1984). Neural dynamics of brightness perception: Features, boundaries, diffusion, and resonance. Perception and Psychophysics, 36(5):428-456.
  4. Georghiades, A. S., Belhumeur, P. N., and Kriegman, D. J. (2001). From few to many: Illumination cone models for face recognition under variable lighting and pose. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(6):643-660.
  5. Gross, R. and Brajovic, V. (2003). An image preprocessing algorithm for illumination invariant face recognition. 4th International Conference on Audio- and Video-Based Biometric Person Authentication, pages 10-18.
  6. Jobson, D. J. and Woodell, G. A. (1995). Properties of a center/surround retinex: Part 2 - surround design. Technical report, NASA Technical Memorandum 110188.
  7. Koenderink, J. (1984). The structure of images. Biological cybernetics, pages 363-370.
  8. Land, E. H. (1977). The retinex theory of color vision. Scientific American, 237(6):108-120, 122-123, 126, 128.
  9. Perona, P. and Malik, J. (1990). Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(7):629-639.
  10. Rahman, Z., Jobson, D. J., and Woodell, G. A. (1996). Multi-scale retinex for color image enhancement. International Conference on Image Processing.
  11. Turk, M. A. and Pentland, A. P. (1991). Face recognition using eigenfaces. IEEE Proceedings of Computer Vision and Pattern Recognition, pages 586-591.
  12. van den Boomgaard, R. (2004). Geometry driven diffusion. Lecture Notes at University of Amsterdam.
  13. Villegas-Santamaria, M. and Paredes-Palacios, R. (2005). Comparison of illumination normalization for face recognition. Third COST 275 Workshop Biometrics on the Internet, pages 27-30.
  14. Wang, H., Li, S. Z., and Wang, Y. (2004). Face recognition under varying lighting conditions using self quotient image. Sixth IEEE International Conference on Automatic Face and Gesture Recognition, pages 819-824.
  15. Weickert, J. (1998). Anisotropic Diffusion in image processing. Teubner-Verlag, Stuttgart.
  16. Westin, C.-F., Maier, S., Mamata, H., Nabavi, A., Jolesz, F., and Kikinis, R. (2002). Processing and visualization for diffusion tensor mri. In Medical Image Analysis, Volume 6, Number 2, pages 93-108.
  17. Witkin, A. P. (1983). Scale space filtering. Proceedings International Joint Conference on Artificial Intelligence, pages 1019-1023.
Download


Paper Citation


in Harvard Style

Dunker P. and Keller M. (2008). DIFFUSION FILTERING FOR ILLUMINATION INVARIANT FACE RECOGNITION - Illumination Approximation with Diffusion Filters within Retinex Context . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 243-247. DOI: 10.5220/0001071302430247


in Bibtex Style

@conference{visapp08,
author={Peter Dunker and Melanie Keller},
title={DIFFUSION FILTERING FOR ILLUMINATION INVARIANT FACE RECOGNITION - Illumination Approximation with Diffusion Filters within Retinex Context},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={243-247},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001071302430247},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - DIFFUSION FILTERING FOR ILLUMINATION INVARIANT FACE RECOGNITION - Illumination Approximation with Diffusion Filters within Retinex Context
SN - 978-989-8111-21-0
AU - Dunker P.
AU - Keller M.
PY - 2008
SP - 243
EP - 247
DO - 10.5220/0001071302430247