DocumentCode :
3018805
Title :
Illuminant color estimation for real-world mixed-illuminant scenes
Author :
Riess, Christian ; Eibenberger, Eva ; Angelopoulou, Elli
Author_Institution :
Pattern Recognition Lab., Univ. of Erlangen-Nuremberg, Erlangen, Germany
fYear :
2011
fDate :
6-13 Nov. 2011
Firstpage :
782
Lastpage :
789
Abstract :
We present a physics-based approach for illuminant color estimation of arbitrary images, which is explicitly designed for handling images with multiple illuminants. The majority of techniques that extract the illuminant color assume that the illumination is constant across the scene. This, however, is not often the case. We propose an illuminant-color estimation method which is based on robust local illuminant estimates. There are no assumptions on the number or type of illuminants. An illuminant color estimate is obtained independently from distinct image mini-regions. From these mini-regions a robust local illumination color is computed by consensus. These local estimates are then used in deriving the chromaticity of the dominant illuminants. Experiments on an established benchmark database of real-world images show that our technique performs comparably to uniform-illuminant estimation methods. Furthermore, extensive tests on real-world images show that we can reliably process mixed illuminant scenes.
Keywords :
image colour analysis; lighting; natural scenes; visual databases; distinct image mini-regions; dominant illuminant chromaticity; illuminant-color estimation method; image handling; real-world image database; real-world mixed illuminant scene; robust local illuminant estimates; Cameras; Databases; Estimation; Image color analysis; Image segmentation; Lighting; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-0062-9
Type :
conf
DOI :
10.1109/ICCVW.2011.6130332
Filename :
6130332
Link To Document :
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