TY  - JOUR
AU  - Javier Vazquez
AU  - Maria Vanrell
AU  - Ramon Baldrich
AU  - Francesc Tous
PY  - 2012//
TI  - Color Constancy by Category Correlation
T2  - TIP
JO  - IEEE Transactions on Image Processing
SP  - 1997
EP  - 2007
VL  - 21
IS  - 4
N2  - 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.
SN  - 1057-7149
UR  - http://ieeexplore.ieee.org/xpl/articleDetails.jsp? arnumber=6042334
UR  - http://dx.doi.org/10.1109/TIP.2011.2171353
N1  - CIC
ID  - Javier Vazquez2012
ER  -