Modeling Light Reflection for Computer Color Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A novel algorithm for color constancy
International Journal of Computer Vision
Color constancy from mutual reflection
International Journal of Computer Vision
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Is Machine Colour Constancy Good Enough?
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
A Theory of Selection for Gamut Mapping Color Constancy
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Towards On-Board Color Constancy on Mobile Robots
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-based color transformation for image and video
GRAPHITE '05 Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
On the Removal of Shadows from Images
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Gamut Constrained Illuminant Estimation
International Journal of Computer Vision
Natural color image enhancement and evaluation algorithm based on human visual system
Computer Vision and Image Understanding
Learning Outdoor Color Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color histograms adapted to query-target images for object recognition across illumination changes
EURASIP Journal on Applied Signal Processing
Optimization of color conversion for face recognition
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Color Subspaces as Photometric Invariants
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Color space projection, feature fusion and concurrent neural modules for biometric image recognition
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
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Performance evaluation of local colour invariants
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Color correction for multi-view video based on background segmentation and dominant color extraction
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A Multi-Scale Adaptive Grey World Algorithm
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Color Constancy Based on Image Similarity
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Color learning and illumination invariance on mobile robots: A survey
Robotics and Autonomous Systems
Fusion of color spaces for ear authentication
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One-click white balance using human skin reflectance
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MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
A sequential Bayesian approach to color constancy using non-uniform filters
Computer Vision and Image Understanding
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ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Adaptive supervision of moving objects for mobile robotics applications
Robotics and Autonomous Systems
ICA color space for pattern recognition
IEEE Transactions on Neural Networks
Generalized Gamut Mapping using Image Derivative Structures for Color Constancy
International Journal of Computer Vision
Improved color acquisition and mapping on 3D models via flash-based photography
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License plate localization based on a probabilistic model
Machine Vision and Applications
Llumination estimation combining physical and statistical approaches
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Color constancy in the compressed domain
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Color constancy using denoising methods and cepstral analysis
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Automatic closed eye correction
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A Solution of the Dichromatic Model for Multispectral Photometric Invariance
International Journal of Computer Vision
Region adaptive color demosaicing algorithm using color constancy
EURASIP Journal on Advances in Signal Processing
A supervised combination strategy for illumination chromaticity estimation
ACM Transactions on Applied Perception (TAP)
Scene illumination as an indicator of image manipulation
IH'10 Proceedings of the 12th international conference on Information hiding
Illumination chromaticity estimation using inverse-intensity chromaticity space
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Perceptually motivated automatic color contrast enhancement based on color constancy estimation
Journal on Image and Video Processing - Special issue on emerging methods for color image and video quality enhancement
Perception based representations for computational colour
CCIW'11 Proceedings of the Third international conference on Computational color imaging
Video-based illumination estimation
CCIW'11 Proceedings of the Third international conference on Computational color imaging
Lightness Recovery for Pictorial Surfaces
International Journal of Computer Vision
Von Kries model under Planckian illuminants
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Illumination independent object recognition
RoboCup 2005
3D and texture modelling of precolombian objects
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Adaptive colour constancy algorithm using discrete wavelet transform
Computer Vision and Image Understanding
A new color constancy algorithm based on the histogram of feasible mappings
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RoboCup 2004
Relaxed grey-world: computational colour constancy by surface matching
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
Pixel distribution shifting color correction for digital color images
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MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Color constancy, intrinsic images, and shape estimation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Color constancy using single colors
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
High information rate and efficient color barcode decoding
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
CFA based simultaneous multispectral imaging and illuminant estimation
CCIW'13 Proceedings of the 4th international conference on Computational Color Imaging
From codes to patterns: designing interactive decoration for tableware
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A flexible auto white balance based on histogram overlap
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
Simultaneous image color correction and enhancement using particle swarm optimization
Engineering Applications of Artificial Intelligence
Multi-objective optimization based color constancy
Applied Soft Computing
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This paper considers the problem of illuminant estimation: how, given an image of a scene, recorded under an unknown light, we can recover an estimate of that light. Obtaining such an estimate is a central part of solving the color constancy problem驴that is of recovering an illuminant independent representation of the reflectances in a scene. Thus, the work presented here will have applications in fields such as color-based object recognition and digital photography, where solving the color constancy problem is important. The work in this paper differs from much previous work in that, rather than attempting to recover a single estimate of the illuminant as many previous authors have done, we instead set out to recover a measure of the likelihood that each of a set of possible illuminants was the scene illuminant. We begin by determining which image colors can occur (and how these colors are distributed) under each of a set of possible lights. We discuss in the paper how, for a given camera, we can obtain this knowledge. We then correlate this information with the colors in a particular image to obtain a measure of the likelihood that each of the possible lights was the scene illuminant. Finally, we use this likelihood information to choose a single light as an estimate of the scene illuminant. Computation is expressed and performed in a generic correlation framework which we develop in this paper. We propose a new probabilistic instantiation of this correlation framework and we show that it delivers very good color constancy on both synthetic and real images. We further show that the proposed framework is rich enough to allow many existing algorithms to be expressed within it: the gray-world and gamut-mapping algorithms are presented in this framework and we also explore the relationship of these algorithms to other probabilistic and neural network approaches to color constancy.