From [R, G, B] to Surface Reflectance: Computing Color Constant Descriptors in Images
Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Perception. Pages 755-757.
Abstract
This paper addresses the issue of color constancy, which is the the perceptual ability of the human visual system to assign the same colors to objects under different lighting conditions. We propose a method, based on finite-dimensional linear models of reflectance and illumination, which allows the transformation [R,G,B] images into color constant images. In contrast to previous work, we show that good results can be obtained using a 3-receptor system and some knowledge about the spectral properties of natural materials and illuminants. In the method developed, an estimate of illuminant in the scene is computed, which allows the computation of color constant descriptors of the pixel values in the image. In addition, we show a method of computing the actual reflectance& of the materials in the scene out of the computed color descriptors.
@inproceedings{ijcai1987p153,
title = {From [R, G, B] to Surface Reflectance: Computing Color Constant Descriptors in Images},
author = {Gershon, Ron and Jepson, Allan D. and Tsotsos, John K.},
booktitle = {Proceedings of the Tenth International Joint Conference on
Artificial Intelligence, {IJCAI-87}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John McDermott},
pages = {755--757},
year = {1987},
note = {Perception},
url = {https://ijcai.org/proceedings/1987/153},
}
TY - CPAPER TI - From [R, G, B] to Surface Reflectance: Computing Color Constant Descriptors in Images AU - Gershon, Ron AU - Jepson, Allan D. AU - Tsotsos, John K. T2 - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87 PB - International Joint Conferences on Artificial Intelligence PY - 1987 SP - 755 EP - 757 UR - https://ijcai.org/proceedings/1987/153 ER -Copied
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