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
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