TY  - JOUR
AU  - Arjan Gijsenij
AU  - Theo Gevers
AU  - Joost Van de Weijer
PY  - 2011//
TI  - Computational Color Constancy: Survey and Experiments
T2  - TIP
JO  - IEEE Transactions on Image Processing
SP  - 2475
EP  - 2489
VL  - 20
IS  - 9
KW  - computational color constancy
KW  - computer vision application
KW  - gamut-based method
KW  - learning-based method
KW  - static method
KW  - colour vision
KW  - computer vision
KW  - image colour analysis
KW  - learning (artificial intelligence)
KW  - lighting
N2  - 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.
SN  - 1057-7149
UR  - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5719167
L1  - http://refbase.cvc.uab.es/files/GGW2011.pdf
UR  - http://dx.doi.org/10.1109/TIP.2011.2118224
N1  - ISE;CIC
ID  - Arjan Gijsenij2011
ER  -