IEEE Trans Image Process - Color constancy by category correlation.

Tópicos

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Resumo

Finding color representations that 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, whereas very little attention has been paid to the effects that selected illuminants have on the final color image representation. The novelty of this paper is to propose perceptual constraints that are computed on the corrected images. We define the category 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.

Resumo Limpo

find color represent stabl illumin chang still open problem comput vision now approach base physic constraint statist assumpt deriv scene wherea littl attent paid effect select illumin final color imag represent novelti paper propos perceptu constraint comput correct imag defin categori hypothesi weight set feasibl illumin accord abil map correct imag onto specif color choos color univers color categori relat basic linguist term psychophys measur color categori encod natur color statist relev across differ cultur indic fact receiv common color name categori hypothesi propos fast implement allow sampl larg set illumin experi prove method rival current stateofart perform without need train algorithm paramet addit method can use framework insert topdown inform sourc thus open research direct solv color constanc

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