Color constancy from mutual reflection
International Journal of Computer Vision
International Journal of Computer Vision
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Issues in evolutionary robotics
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color constancy for scenes with varying illumination
Computer Vision and Image Understanding - Special issue on physics-based modeling and reasoning in computer vision
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Recognition without Correspondence using MultidimensionalReceptive Field Histograms
International Journal of Computer Vision
Solving for Colour Constancy using a Constrained Dichromatic Reflection Model
International Journal of Computer Vision
Object Recognition Using Multidimensional Receptive Field Histograms
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Comprehensive Colour Image Normalization
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Is Machine Colour Constancy Good Enough?
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Evolving Color Constancy for an Artificial Retina
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
Verfahren zur empfindungsgemäßen Farbumstimmung
Mustererkennung 1995, 17. DAGM-Symposium
Learning a Color Algorithm from Examples
Learning a Color Algorithm from Examples
A parallel algorithm for color constancy
Journal of Parallel and Distributed Computing
From [R,G,B] to surface reflectance: computing color constant descriptors in images
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
A real-time neural system for color constancy
IEEE Transactions on Neural Networks
A multistage neural network for color constancy and color induction
IEEE Transactions on Neural Networks
How does the brain arrive at a color constant descriptor?
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
An evolutionary framework for colorimetric characterization of scanners
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
Multi-objective optimization based color constancy
Applied Soft Computing
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The ability to compute color constant descriptors of objects in view irrespective of the light illuminating the scene is called color constancy. We have used genetic programming to evolve an algorithm for color constancy. The algorithm runs on a grid of processing elements. Each processing element is connected to neighboring processing elements. Information exchange can therefore only occur locally. Randomly generated color Mondrians were used as test cases. The evolved individual was tested on synthetic as well as real input images. Encouraged by these results we developed a parallel algorithm for color constancy. This algorithm is based on the computation of local space average color. Local space average color is used to estimate the illuminant locally for each image pixel. Given an estimate of the illuminant, we can compute the reflectances of the corresponding object points. The algorithm can be easily mapped to a neural architecture and could be implemented directly in CCD or CMOS chips used in todays cameras.