DocumentCode :
3210232
Title :
Color lines: image specific color representation
Author :
Omer, Ido ; Werman, Michael
Author_Institution :
Sch. of Comput. Sci. & Eng., Hebrew Univ., Jerusalem, Israel
Volume :
2
fYear :
2004
fDate :
27 June-2 July 2004
Abstract :
The problem of deciding whether two pixels in an image have the same real world color is a fundamental problem in computer vision. Many color spaces are used in different applications for discriminating color from intensity to create an informative representation of color. The major drawback of all of these representations is that they assume no color distortion. In practice the colors of real world images are distorted both in the scene itself and in the image capturing process. In this work we introduce color lines, an image specific color representation that is robust to color distortion and provides a compact and useful representation of the colors in a scene.
Keywords :
computer vision; distortion; image colour analysis; color lines; color spaces; computer vision; image capturing process; image specific color representation; no color distortion; real world color; Application software; Color; Colored noise; Computer science; Computer vision; Histograms; Layout; Lighting; Pixel; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2158-4
Type :
conf
DOI :
10.1109/CVPR.2004.1315267
Filename :
1315267
Link To Document :
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