DocumentCode :
3017752
Title :
Towards Automatic Photometric Correction of Casually Illuminated Documents
Author :
Landon, George V. ; Lin, Yun ; Seales, W. Brent
Author_Institution :
Univ. of Kentucky, Lexington
fYear :
2007
fDate :
17-22 June 2007
Firstpage :
1
Lastpage :
8
Abstract :
Creating uniform lighting for archival-quality document acquisition remains a non-trivial problem. We propose a novel method for automatic photometric correction of non-planar documents by estimating a single, point light-source using a simple light probe. By adding a simple piece of folded white paper with a known 3D surface to a scene, we are able to extract the 3D position of a light source, automatically perform white balance correction, and determine areas of poor illumination. Furthermore, this method is designed with the purpose of adding it to an already implemented document digitization pipeline. To justify our claims, we provide an accuracy analysis of our correction technique using simulated ground-truth data which allows individual sources of error to be determined and compared. These techniques are then applied on real documents that have been acquired using a 3D scanner.
Keywords :
document image processing; feature extraction; photometry; 3D position extraction; archival-quality document acquisition; automatic photometric correction; casually illuminated documents; document digitization pipeline; light source; Cameras; Image restoration; Layout; Light sources; Lighting; Optical attenuators; Photometry; Probes; Reflectivity; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location :
Minneapolis, MN
ISSN :
1063-6919
Print_ISBN :
1-4244-1179-3
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2007.383254
Filename :
4270279
Link To Document :
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