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.
Color constancy from multispectral images / Abrardo, A; Alparone, L.; Cappellini, V.; Prosperi, A.. - STAMPA. - 3:(1999), pp. 570-574. (Intervento presentato al convegno International Conference on Image Processing (ICIP'99) tenutosi a Kobe, Jpn nel 24 - 28 October 1999) [10.1109/ICIP.1999.817179].
Color constancy from multispectral images
ALPARONE, LUCIANO;CAPPELLINI, VITO;
1999
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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