Color constancy from mutual reflection
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
Color constancy for scenes with varying illumination
Computer Vision and Image Understanding - Special issue on physics-based modeling and reasoning in computer vision
Robot Vision
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
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 multistage neural network for color constancy and color induction
IEEE Transactions on Neural Networks
A parallel algorithm for color constancy
Journal of Parallel and Distributed Computing
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Feature extraction and classification by genetic programming
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
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Objects retain their color in spite of changes in the wavelength and energy composition of the light they reflect. This phenomenon is called color constancy and plays an important role in computer vision research. We have used genetic programming to automatically search the space of programs to solve the problem of color constancy for an artificial retina. This retina consists of a two dimensional array of elements each capable of exchanging information with its adjacent neighbors. The task of the program is to compute the intensities of the light illuminating the scene. These intensities are then used to calculate the reflectances of the object. Randomly generated color Mondrians were used as fitness cases. The evolved program was tested on artificial Mondrians and natural images.