Distinguishing visually similar objects like forged/authentic bills and healthy/unhealthy plants is beyond the capabilities of even most sophisticated classifiers. We propose use multiplexed illumination to extend range that can be successfully classified. construct a compact RGB-IR light stage images samples under different combinations illuminant position colour. then develop methodology for ...

Several algorithms were proposed in the literature to recover the illuminant chromaticity of the original scene. These algorithms work well only when prior assumptions are satisfied, and the best and the worst algorithms may be different for different scenes. In this paper we investigate the idea of not relying on a single method but instead consider a consensus decision that takes into account...

In 1789, when neither the physical basis of hue nor the retinal basis of color perception was established, the mathematician Gaspard Monte stated firmly that our color perceptions do not depend on the absolute value of the physical variable, but are influenced by the context and in particular by our estimate of the illuminant. He used this insight to explain color contrast effects and the Parad...

We propose a new method of color-pattern recognition by optical correlation that uses a linear description of spectral reflectance functions and the spectral power distribution of illuminants that contains few parameters. We report on a method of preprocessing color input scenes in which the spectral functions are derived from linear models based on principal-component analysis. This multichann...

Observers can generally make reliable judgments of surface color in natural scenes despite changes in an illuminant that is out of view. This ability has sometimes been attributed to observers' estimating the spectral properties of the illuminant in order to compensate for its effects. To test this hypothesis, two surface-color-matching experiments were performed with images of natural scenes o...

This paper exploits physical models of time-varying brightness in image sequences to estimate optical flow and physical parameters of the scene. Previous approaches handled violations of brightness constancy with the use of robust statistics or with generalized brightness constancy constraints that allow generic types of contrast and illumination changes. Here, we consider models of brightness ...

The colors a camera sees depends on the color of the viewing illuminant and, unless corrected, this leads to poor color reproduction. There are two strategies to color correction: constrained and unconstrained. The constrained methods rely on simplifying assumptions about the world (e.g. there is a white reeectance is in every scene). If the assumptions hold then good correction is possible but...