Learning color constancy

Brian Funt, Vlad Cardei, Jacobus J Barnard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

We decided to test a surprisingly simple hypothesis; namely, that the relationship between an image of a scene and the chromaticity of scene illumination could be learned by a neural network. The thought was that if this relationship could be extracted by a neural network, then the trained network would be able to determine a scene's Illuminant from its image, which would then allow correction of the image colors to those relative to a standard illuminance, thereby providing color constancy. Using a database of surface reflectances and illuminants, along with the spectral sensitivity functions of our camera, we generated thousands of images of randomly selected illuminants lighting `scenes' of 1 to 60 randomly selected reflectances. During the learning phase the network is provided the image data along with the chromaticity of its illuminant. After training, the network outputs (very quickly) the chromaticity of the illumination given only the image data. We obtained surprisingly good estimates of the ambient illumination lighting from the network even when applied to scenes in our lab that were completely unrelated to the training data.

Original languageEnglish (US)
Title of host publicationProceedings of the Color Imaging Conference: Color Science, Systems, and Applications
Editors Anon
PublisherSoc Imaging Sci Technol
Pages58-60
Number of pages3
Publication statusPublished - 1997
Externally publishedYes
EventProceedings of the 1996 4th Color Imaging Conference Color Science, Science, and Applications - Scottsdale, AZ, USA
Duration: Nov 19 1996Nov 22 1996

Other

OtherProceedings of the 1996 4th Color Imaging Conference Color Science, Science, and Applications
CityScottsdale, AZ, USA
Period11/19/9611/22/96

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Funt, B., Cardei, V., & Barnard, J. J. (1997). Learning color constancy. In Anon (Ed.), Proceedings of the Color Imaging Conference: Color Science, Systems, and Applications (pp. 58-60). Soc Imaging Sci Technol.