Color constancy with fluorescent surfaces

Research output: Contribution to conferencePaperpeer-review

23 Scopus citations

Abstract

Fluorescent surfaces are common in the modern world, but they present problems for machine color constancy because fluorescent reflection typically violates the assumptions needed by most algorithms. The complexity of fluorescent reflection is likely one of the reasons why fluorescent surfaces have escaped the attention of computational color constancy researchers. In this paper we take some initial steps to rectify this omission. We begin by introducing a simple method for characterizing fluorescent surfaces. It is based on direct measurements, and thus has low error and avoids the need to develop a comprehensive and accurate physical model. We then modify and extend several modern color constancy algorithms to address fluorescence. The algorithms considered are CRULE and derivatives, Color by Correlation, and neural net methods. Adding fluorescence to Color by Correlation and neural net methods is relatively straight forward, but CRULE requires modification so that its complete reliance on diagonal models can be relaxed. We present results for both synthetic and real image data for fluorescent capable versions of CRULE and Color by Correlation, and we compare the results with the standard versions of these and other algorithms.

Original languageEnglish (US)
Pages257-261
Number of pages5
StatePublished - 1999
Externally publishedYes
EventFinal Program and Proceedings of the 7th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications - Scottsdale, AZ, United States
Duration: Nov 16 1999Nov 19 1999

Other

OtherFinal Program and Proceedings of the 7th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications
Country/TerritoryUnited States
CityScottsdale, AZ
Period11/16/9911/19/99

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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