Colour constancy for scenes with varying illumination

Jacobus J Barnard, Graham Finlayson, Brian Funt

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

8 Scopus citations

Abstract

We present an algorithm which uses information from both surface reflectance and illumination variation to solve for colour constancy. Most colour constancy algorithms assume that the illumination across a scene is constant, but this is very often not valid for real images. The method presented in this work identifies and removes the illumination variation, and in addition uses the variation to constrain the solution. The constraint is applied conjunctively to constraints found from surface reflectances. Thus the algorithm can provide good colour constancy when there is sufficient variation in surface reflectances, or sufficient illumination variation, or a combination of both. We present the results of running the algorithm on several real scenes, and the results are very encouraging.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages1-15
Number of pages15
Volume1065
ISBN (Print)3540611231, 9783540611233
DOIs
StatePublished - 1996
Externally publishedYes
Event4th European Conference on Computer Vision, ECCV 1996 - Cambridge, United Kingdom
Duration: Apr 15 1996Apr 18 1996

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1065
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th European Conference on Computer Vision, ECCV 1996
CountryUnited Kingdom
CityCambridge
Period4/15/964/18/96

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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    Barnard, J. J., Finlayson, G., & Funt, B. (1996). Colour constancy for scenes with varying illumination. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1065, pp. 1-15). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1065). Springer Verlag. https://doi.org/10.1007/3-540-61123-1_123