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Color and illuminant voting

Publication ,  Journal Article
Sapiro, G
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence
December 1, 1999

A gsometric-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 translorm, to estimate the illuminant and reflectance ot natural images. Each image pixel votes lor 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 1o previous algorithms for color constancy and present examples. © 1999 IEEE.

Duke Scholars

Published In

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

ISSN

0162-8828

Publication Date

December 1, 1999

Volume

21

Issue

11

Start / End Page

1210 / 1215

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4611 Machine learning
  • 4603 Computer vision and multimedia computation
  • 0906 Electrical and Electronic Engineering
  • 0806 Information Systems
  • 0801 Artificial Intelligence and Image Processing
 

Citation

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ICMJE
MLA
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Sapiro, G. (1999). Color and illuminant voting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(11), 1210–1215. https://doi.org/10.1109/34.809114
Sapiro, G. “Color and illuminant voting.” IEEE Transactions on Pattern Analysis and Machine Intelligence 21, no. 11 (December 1, 1999): 1210–15. https://doi.org/10.1109/34.809114.
Sapiro G. Color and illuminant voting. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1999 Dec 1;21(11):1210–5.
Sapiro, G. “Color and illuminant voting.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, no. 11, Dec. 1999, pp. 1210–15. Scopus, doi:10.1109/34.809114.
Sapiro G. Color and illuminant voting. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1999 Dec 1;21(11):1210–1215.

Published In

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

ISSN

0162-8828

Publication Date

December 1, 1999

Volume

21

Issue

11

Start / End Page

1210 / 1215

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4611 Machine learning
  • 4603 Computer vision and multimedia computation
  • 0906 Electrical and Electronic Engineering
  • 0806 Information Systems
  • 0801 Artificial Intelligence and Image Processing