Color perception under various light sources using spectral numerical models

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Abstract
A high spectral sampling density numerical model is proposed for use for accurate colorimetric calculations in geometrically complex architectural spaces. The main applications are oriented toward lighting engineering and computer graphics, solving color appearance match between rendering and the actual space with a color perception model deriving from brightness to luminance relations. Some other color information (correlated color temperatures and color rendering indices) available on all surfaces help the lighting designer to appreciate complex color radiation problems in architectural spaces.

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