%0 Journal Article
%T Color Constancy by Category Correlation
%A Javier Vazquez
%A Maria Vanrell
%A Ramon Baldrich
%A Francesc Tous
%J IEEE Transactions on Image Processing
%D 2012
%V 21
%N 4
%@ 1057-7149
%F Javier Vazquez2012
%O CIC
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1999), last updated on Fri, 23 Jun 2017 11:24:48 +0200
%X Finding color representations which are stable to illuminant changes is still an open problem in computer vision. Until now most approaches have been based on physical constraints or statistical assumptions derived from the scene, while very little attention has been paid to the effects that selected illuminants haveon the final color image representation. The novelty of this work is to proposeperceptual constraints that are computed on the corrected images. We define thecategory hypothesis, which weights the set of feasible illuminants according to their ability to map the corrected image onto specific colors. Here we choose these colors as the universal color categories related to basic linguistic terms which have been psychophysically measured. These color categories encode natural color statistics, and their relevance across different cultures is indicated by the fact that they have received a common color name. From this category hypothesis we propose a fast implementation that allows the sampling of a large set of illuminants. Experiments prove that our method rivals current state-of-art performance without the need for training algorithmic parameters. Additionally, the method can be used as a framework to insert top-down information from other sources, thus opening further research directions in solving for color constancy.
%U http://ieeexplore.ieee.org/xpl/articleDetails.jsp? arnumber=6042334
%U http://dx.doi.org/10.1109/TIP.2011.2171353
%P 1997-2007