DocumentCode
1278052
Title
Color and illuminant voting
Author
Sapiro, Guillermo
Author_Institution
Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA
Volume
21
Issue
11
fYear
1999
fDate
11/1/1999 12:00:00 AM
Firstpage
1210
Lastpage
1215
Abstract
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
Keywords
Hough transforms; image colour analysis; probability; color constancy; cumulative votes; generalized probabilistic Hough transform; geometric-vision approach; illuminant estimation; illuminant voting; reflectance; Cameras; Equations; Image sensors; Photoreceptors; Pixel; Reflectivity; Stability; Surface reconstruction; Visual system; Voting;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.809114
Filename
809114
Link To Document