Colour by correlation in a three-dimensional colour space

Jacobus J Barnard, Lindsay Martin, Brian Funt

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

27 Scopus citations


We improve the promising Colour by Correlation method for computational colour constancy by modifying it to work in a three dimensional colour space. The previous version of the algorithm uses only the chromaticity of the input, and thus cannot make use of the information inherent in the pixel brightness which previous work suggests is useful. We develop the algorithm for the Mondrian world (matte surfaces), the Mondrian world with fluorescent surfaces, and the Mondrian world with specularities. We test the new algorithm on synthetic data, and on a data set of 321 carefully calibrated images. We find that on the synthetic data, the new algorithm significantly out-performs all other colour constancy algorithms. In the case of image data, the results are also promising. The new algorithm does significantly better than its chromaticity counter-part, and its performance approaches that of the best algorithms. Since the research into the method is still young, we are hopeful that the performance gap between the real and synthetic case can be narrowed.

Original languageEnglish (US)
Title of host publicationComputer Vision - ECCV 2000 - 6th European Conference on Computer Vision, Proceedings
EditorsDavid Vernon
Number of pages15
ISBN (Print)3540676856
StatePublished - 2000
Event6th European Conference on Computer Vision, ECCV 2000 - Dublin, Ireland
Duration: Jun 26 2000Jul 1 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other6th European Conference on Computer Vision, ECCV 2000

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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