Title :
Color and illuminant voting
Author :
Sapiro, Guillermo
Author_Institution :
Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA
fDate :
11/1/1999 12:00:00 AM
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
