Title :
Multi-View Document Rectification using Boundary
Author :
Tsoi, Yau-Chat ; Brown, Michael S.
Author_Institution :
Nanyang Technol. Univ., Singapore
Abstract :
We present a novel technique that uses multiple images of bound and folded documents to rectify the imaged content such that it appears flat and photometrically uniform. Our approach works from a sparse set of uncalibrated views of the document which are mapped to a canonical coordinate frame using the document´s boundary. A composite image is constructed from these canonical views that significantly reduces the effects of depth distortion without the blurring artifacts that is problematic in single image approaches. In addition, we propose a new technique to estimate illumination variation in the individual images allowing the final composited content to be photometrically rectified. Our approach is straight-forward, robust, and produces good results.
Keywords :
document image processing; image resolution; image restoration; photometry; canonical coordinate frame; documents boundary; illumination variation; multiple document images; multiview document rectification; uncalibrated document views; Cameras; Geometry; Histograms; Image restoration; Image sampling; Lighting; Optical character recognition software; Photometry; Robustness; Software libraries;
Conference_Titel :
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-1179-3
Electronic_ISBN :
1063-6919
DOI :
10.1109/CVPR.2007.383251