Human color constancy based on the geometry of color distributions

Quantifying Human Color Constancy

The visual system generates object color on the basis of spectral information mediated by reflected light. Although the color of this light, and hence, surface color, varies with the color and intensity of the ambient illumination, the visual system is capable of maintaining a fair degree of color fidelity, a phenomenon known as color constancy. Color constancy was already discussed by Helmholt...

Classification-Based Color Constancy

Committee-Based Color Constancy

We show how to achieve better illumination estimates for color constancy by combining the results of several existing algorithms. We consider committee methods based on both linear and non–linear ways of combining the illumination estimates from the original set of color constancy algorithms. Committees of grayworld, white patch and neural net methods are tested. The committee results are alway...

Color Constancy Based on Image Similarity

Computational color constancy is a classical problem in computer vision. It is an under-constrained problem, which can be solved based on some constraint. Existing algorithms can be divided into two groups; physics-based algorithms and statistics-based approaches. In this paper, we propose a new hypothesis that the images generated under a same illumination have some similar features. Based on ...

Color constancy and the complexity of color ∗

We can start with a definition. “[C]olour constancy is the constancy of the perceived colours of surfaces under changes in the intensity and spectral composition of the illumination.” (Foster et al. 1997) Given the definition we can now ask a question: Does human color vision exhibit color constancy?1 The answer to the question depends in part on how we interpret it. If the question is understo...