Paper
1 May 1994 Color constancy and a changing illumination
Graham D. Finlayson
Author Affiliations +
Proceedings Volume 2179, Human Vision, Visual Processing, and Digital Display V; (1994) https://doi.org/10.1117/12.172686
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States
Abstract
The color constancy problem has proven to be very hard to solve. This is even true in the simple Mondriaan world where a planar patchwork of matte surfaces is viewed under a single illuminant. In this paper we consider the color constancy problem given two images of a Mondriaan viewed under different illuminants. We show that if surface reflectances are well modeled by 3 basis functions and illuminants by up to 5 basis functions then we can, theoretically, solve for color constancy given 3 surfaces viewed under 2 illuminants. The number of recoverable dimensions in the illuminant depends on the spectral characteristics of the sensors. Specifically if for a given sensor set a von Kries type, diagonal model of color constancy is sufficient then we show that at most 2 illuminant parameters can be retrieved. Recent work has demonstrated that for the human visual system a diagonal matrix is a good model of color constancy given an appropriate choice of sensor basis. We might predict therefore, that we can recover at most 2 illuminant parameters. We present simulations which indicate that this in fact the case.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Graham D. Finlayson "Color constancy and a changing illumination", Proc. SPIE 2179, Human Vision, Visual Processing, and Digital Display V, (1 May 1994); https://doi.org/10.1117/12.172686
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Cited by 7 scholarly publications.
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KEYWORDS
Reflectivity

Light sources and illumination

Sensors

Matrices

Cones

Eye

Eye models

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