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» Color Constancy Using KL-Divergence
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NN
2007
Springer
106views Neural Networks» more  NN 2007»
13 years 7 months ago
Machine learning approach to color constancy
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...
Vivek Agarwal, Andrei V. Gribok, Mongi A. Abidi
ICIP
1999
IEEE
14 years 9 months ago
Color Constancy from Multispectral Images
This paper describes a computational method for estimating the body reflectance function of color surfaces. The experimental apparatus consists of a vision system having seven spe...
Andrea Abrardo, Luciano Alparone, Vito Cappellini,...
ICCV
1995
IEEE
13 years 11 months ago
Bayesian Decision Theory, the Maximum Local Mass Estimate, and Color Constancy
Computational vision algorithms are often developed in a Bayesian framework. Two estimators are commonly used: maximum a posteriori (MAP), and minimum mean squared error (MMSE). W...
William T. Freeman, David H. Brainard
CAIP
1995
Springer
200views Image Analysis» more  CAIP 1995»
13 years 11 months ago
The Color Constancy Problem: An Illumination Invariant Mapping Approach
Abstract. We suggest a novel approach to the Color Constancy Problem for multispectral imagery. Our approach is based on a dichromatic illumination model and lters out all spectral...
Rafael Wiemker
CVPR
2009
IEEE
15 years 2 months ago
Physics-based Edge Evaluation for Improved Color Constancy
Edge-based color constancy makes use of image derivatives to estimate the illuminant. However, different edge types exist in real-world images such as shadow, geometry, material...
Arjan Gijsenij (University of Amsterdam), Theo Gev...