DocumentCode :
2271231
Title :
Estimation Illumination Chromaticity
Author :
Yao, Li
Author_Institution :
Comput. Graphics & Vision Lab., Southeast Univ., Nanjing
Volume :
3
fYear :
2008
fDate :
20-22 Dec. 2008
Firstpage :
756
Lastpage :
760
Abstract :
Color constancy is important for pattern recognition and image understanding. Based on simplified BRDF model, we use voting method to detect the high light areas. Then the pixels in the high light areas are projected to the inverse-intensity space. In the inverse-intensity space, the correlation of image chromaticity, inverse-intensity, and illumination chromaticity is linear. So we can estimate the Illumination chromaticity. The experiments demonstrate that our algorithm have no limit on the objects´ material and texture and contain the color constancy after the illumination chromaticity correction.
Keywords :
image colour analysis; image recognition; image texture; color constancy; illumination chromaticity estimation; image chromaticity; inverse-intensity space; object material; pattern recognition; simplified BRDF model; voting method; Application software; Cameras; Color; Computer graphics; Information technology; Layout; Lighting; Optical reflection; Pattern recognition; Surface texture; color constancy; high light detection; inverse-Intensity space;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
Type :
conf
DOI :
10.1109/IITA.2008.305
Filename :
4740099
Link To Document :
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