Understanding and improving the realism of image composites
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Backtracking: Retrospective multi-target tracking
Computer Vision and Image Understanding
Face-based illuminant estimation
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Illuminant estimation from projections on the planckian locus
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Lighting estimation in indoor environments from low-quality images
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Color constancy using single colors
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Specularity, the zeta-image, and information-theoretic illuminant estimation
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
International Journal of Computer Vision
Computational strategies for skin detection
CCIW'13 Proceedings of the 4th international conference on Computational Color Imaging
A flexible auto white balance based on histogram overlap
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
People reidentification in surveillance and forensics: A survey
ACM Computing Surveys (CSUR)
A linear system form solution to compute the local space average color
Machine Vision and Applications
Multi-objective optimization based color constancy
Applied Soft Computing
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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 datasets. Finally, various freely available methods, of which some are considered to be state of the art, are evaluated on two datasets.