DocumentCode :
2730589
Title :
Color Constancy by Local Averaging
Author :
Gijsenij, Arjan ; Gevers, Theo
Author_Institution :
Univ. of Amsterdam, Amsterdam
fYear :
2007
fDate :
10-13 Sept. 2007
Firstpage :
171
Lastpage :
174
Abstract :
As the color of an object partly depends on the color of the illumination, computer vision systems that rely on color features are likely to benefit from a property that most humans have naturally: color constancy. Color constancy is the ability to recognize colors of objects, invariant to the color of the light source. In this paper, an new algorithm is proposed based on local averaging, which is tested on a publicly available data set. The proposed method is shown to be at least competitive to current state-of-the-art methods, however, at lower computational costs.
Keywords :
computer vision; feature extraction; image colour analysis; color constancy; color features; computer vision systems; light source color; local averaging; Cameras; Computer vision; Humans; Image color analysis; Intelligent systems; Layout; Light sources; Pixel; Reflectivity; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Processing Workshops, 2007. ICIAPW 2007. 14th International Conference on
Conference_Location :
Modena
Print_ISBN :
978-0-7695-2921-9
Type :
conf
DOI :
10.1109/ICIAPW.2007.16
Filename :
4427495
Link To Document :
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