This paper describes a computational method for estimating the body reflectance function of color surfaces. The experimental apparatus consists of a vision system having seven spectral channels whose wavelength sensitivities cover the visible spectrum. The estimation of the spectral-reflectance function is based on finite-dimensional linear models. In order to use digitized imaged data to evaluate the surface reflectance, a procedure for bypassing the problem of unknown illuminant spectral-power distribution was devised. For the simple objects utilized (color checker charts), it is found that an accuracy greater than 97% can be achieved.
Abrardo, A., Alparone, L., Cappellini, V., Prosperi, A. (1999). Color constancy from multispectral images. In International Conference on Image Processing (pp.570-574). IEEE.
Color constancy from multispectral images
Abrardo A.;
1999-01-01
Abstract
This paper describes a computational method for estimating the body reflectance function of color surfaces. The experimental apparatus consists of a vision system having seven spectral channels whose wavelength sensitivities cover the visible spectrum. The estimation of the spectral-reflectance function is based on finite-dimensional linear models. In order to use digitized imaged data to evaluate the surface reflectance, a procedure for bypassing the problem of unknown illuminant spectral-power distribution was devised. For the simple objects utilized (color checker charts), it is found that an accuracy greater than 97% can be achieved.
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https://hdl.handle.net/11365/46484
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