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A geometric-vision approach to color constancy and illuminant estimation is presented in this paper. We show a general framework, based on ideas from the generalized probabilistic Hough transform, to estimate the illuminant and reflectance of natural images. Each image pixel “votes” for possible illuminants and the estimation is based on cumulative votes. The framework is natural for the introduction of physical constraints in the color constancy problem. We show the relationship of this work to previous algorithms for color constancy and present examples
Published in:
Pattern Analysis and Machine Intelligence, IEEE Transactions on
(Volume:21
,
Issue:
11
)
Date of Publication: Nov 1999
- Page(s):
- 1210 - 1215
- ISSN :
- 0162-8828
- INSPEC Accession Number:
- 6446098
- Digital Object Identifier :
- 10.1109/34.809114
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Nov 1999
- Sponsored by :
- IEEE Computer Society
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