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The Colour Problem
A discussion of how colour is a perceptual experiance.

Research Areas
- Colour Constancy Algorithms
- Object Recognition Using Colour Indexing
- Sensor Sharpening
- Image Enhancement and Dynamic Range Compression

A list of publications used to assist in the above research.

   Computational Vision Lab Research


[BARNARD95] Barnard, K., Computational Colour Constancy: Taking Theory into Practice, MSc thesis, Simon Fraser Univ., School of Computing Science, 1995.

[BARNARD96] Barnard. K., Finlayson, G., Funt, B., Colour Constancy for Scenes with Spectrally Varying Illumination, ECCV'96 Fourth European Conference on Computer Vision, Vol. II, pages 3-15, April 1996.

[BARNARD98] Kobus Barnard, K., Funt, B. "Experiments in Sensor Sharpening for Color Constancy," Proceedings of the IS&T/SID Sixth Color Imaging Conference: Color Science, Systems and Applications, 1998

[BRAINARD92] Brainard, D.H. and Wandell, B.A., Asymmetric color matching: how color appearance depends on the illuminant. J. Opt. Soc. Am. A, 9, 1433-1448, 1992.

[COHEN64] Cohen, J., Dependency of The Spectral Reflectance Curves of The Munsell Color Chips,  Psychon. Sci. 1:369-370, 1964.

[FINLAY94a] Finlayson, G., Drew M., and Funt, B., Spectral Sharpening: Sensor Transformations for Improved Color. J. Opt. Soc. Am. A, 11(5):1553-1563, 1994

[FINLAY94b] Finlayson, G., Drew, M., and Funt., B., Color Constancy: Generalized Diagonal Transforms Suffice, J. Opt. Soc. Am. A, 11(11):3011-3020,1994

[FINLAY95] Finlayson, G., Funt, B. and Barnard, J., Colour Constancy Under a Varying Illumination, Proc. Fifth Intl. Conf. on Comp. Vis., Jun 1995.

[FINLAY96] Finlayson, G. Color in Perspective, PAMI Oct 1996. Vol 18 number 10, p1034-1038

[FORSY90] Forsyth, D., A novel algorithm for color constancy, Intl. Journal of Computer Vision 5:5-36, 1990.

[FUNT91] Funt, B.V., Drew, M.S., and Ho, J., Color Constancy from Mutual Reflection. Intl. Journal of Computer Vision, 6(1):5-24, April 1991.

[FUNT93] Funt, B.V. and Drew, M.S., Color  space analysis of mutual illumination, IEEE Trans. Patt. Anal. and Mach.  Intell., 15(12):1319-1325, 1993.

[FUNT95]  Funt, B.V., and Finlayson G.D., Color Constant Color Indexing,  IEEE Trans. Patt. Anal. and Mach.  Intell, 17(5), May 1995.

[HERTZ91] Hertz, J., Krogh, A., and Palmer, R.G. Introduction to the Theory of Neural Computation, Addison-Wesley Publishing Company, 1991.

[LAND71] Land, E.H., and McCann, J.J., Lightness and retinex theory, J. Opt. Soc. Am, 61:1-11, 1971.

[RUMEL] Rumelhart, D.E., Hinton, G.E., and. Williams, R.J, Learning Internal Representations by Error Propagation in D.E. Rumelhart & J.L. McClelland (Eds.), Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Vol.1: Foundations. MIT.

[SWAIN91] Swain, M.J., Ballard, D.H., Colour Indexing, Intl. Journal of Computer Vision, 7(1):11-32, 1991.

[WYSZ82] Wyszecki, G. and Stiles, W., Color Science: Concepts and Methods Quantitative Data and Formulas 2nd ed., Wiley New York, 1982.

Computational Vision Lab
Computing Science,
Simon Fraser University,
Burnaby, BC, Canada,
V5A 1S6
Fax: (778) 782-3045
Tel: (778) 782-4717
email: colour@cs.sfu.ca
Office: ASB 10865, SFU

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Last Updated: Thursday, February 18, 1999