AN ILLUMINANT-INDEPENDENT ANALYSIS OF REFLECTANCE AS SENSED BY HUMANS, AND ITS APPLICABILITY TO COMPUTER VISION

Abstract : Philipona & O'Regan (2006) recently proposed a linear model of surface reflectance as it is sensed by the human eyes. In their model, the tristimulus response to reflected light is accurately approximated by a linear transformation of the tristimulus response to illumination, allowing the prediction of several perceptual characteristics of human vision. Later, Vazquez-Corral et al (2012) built a bridge between Philipona & O'Regan's model and von Kries-like approaches to color constancy in computer vision by showing that the linear operators could be diagonalized in a common basis. However both of these studies required specifying a particular dataset of illuminants. We will show in this paper that it is possible to compute adequate linear operators and a common basis for diagonalization without specifying any particular set of illuminants.
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Alban Flachot, Edoardo Provenzi, J Kevin O'Regan. AN ILLUMINANT-INDEPENDENT ANALYSIS OF REFLECTANCE AS SENSED BY HUMANS, AND ITS APPLICABILITY TO COMPUTER VISION. EUVIP, Oct 2016, Marseille, France. 〈hal-01324912〉

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