%0 Journal Article
%T Computational Color Constancy: Survey and Experiments
%A Arjan Gijsenji
%A Theo Gevers
%A Joost Van de Weijer
%J IEEE Transactions on Image Processing
%D 2011
%V 20
%N 9
%@ 1057-7149
%F Arjan Gijsenji2011
%O ISE;CIC
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1717), last updated on Fri, 04 Feb 2022 12:57:40 +0100
%X Computational color constancy is a fundamental prerequisite for many computer vision applications. This paper presents a survey of many recent developments and state-of-the- art methods. Several criteria are proposed that are used to assess the approaches. A taxonomy of existing algorithms is proposed and methods are separated in three groups: static methods, gamut-based methods and learning-based methods. Further, the experimental setup is discussed including an overview of publicly available data sets. Finally, various freely available methods, of which some are considered to be state-of-the-art, are evaluated on two data sets.
%K computational color constancy
%K computer vision application
%K gamut-based method
%K learning-based method
%K static method
%K colour vision
%K computer vision
%K image colour analysis
%K learning (artificial intelligence)
%K lighting
%U http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5719167
%U http://refbase.cvc.uab.es/files/GGW2011.pdf
%U http://dx.doi.org/10.1109/TIP.2011.2118224
%P 2475-2489