Is machine colour constancy good enough?

Brian Funt, Jacobus J Barnard, Lindsay Martin

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

204 Scopus citations

Abstract

This paper presents a negative result: current machine colour constancy algorithms are not good enough for colour-based object recognition. This result has surprised us since we have previously used the better of these algorithms successfully to correct the colour balance of images for display. Colour balancing has been the typical application of colour constancy, rarely has it been actually put to use in a computer vision system, so our goal was to show how well the various methods would do on an obvious machine colour vision task, namely, object recognition. Although all the colour constancy methods we tested proved insufficient for the task, we consider this an important finding in itself. In addition we present results showing the correlation between colour constancy performance and object recognition performance, and as one might expect, the better the colour constancy the better the recognition rate.

Original languageEnglish (US)
Title of host publicationComputer Vision - ECCV 1998 - 5th European Conference on Computer Vision, Proceedings
EditorsBernd Neumann, Hans Burkhardt
PublisherSpringer-Verlag
Pages445-459
Number of pages15
ISBN (Print)3540645691, 9783540645696
DOIs
StatePublished - 1998
Event5th European Conference on Computer Vision, ECCV 1998 - Freiburg, Germany
Duration: Jun 2 1998Jun 6 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1406
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th European Conference on Computer Vision, ECCV 1998
Country/TerritoryGermany
CityFreiburg
Period6/2/986/6/98

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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