International Journal of Computer Vision
Computer Vision: Three-Dimensional Data from Images
Computer Vision: Three-Dimensional Data from Images
Document Image De-warping for Text/Graphics Recognition
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Former books digital processing: image warping
DIA '97 Proceedings of the 1997 Workshop on Document Image Analysis
Correcting Document Image Warping Based on Regression of Curved Text Lines
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Image Restoration of Arbitrarily Warped Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Flattening Curved Documents in Images
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Restoring Warped Document Images through 3D Shape Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fast and Stable Approach for Restoration of Warped Document Images
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Document Image Dewarping using Robust Estimation of Curled Text Lines
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Geometric Rectification of Camera-Captured Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
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For book scanner technologies projective distortions are the main problem. In general, the use of 3d measurements of a warped surface is the best way to remove the projective distortions. But if the quality of the 3d measurements is very low, it is difficult to get satisfying dewarping results. In our paper we present a new technique handling this problem by introducing a simplified surface model. We use this model as a basis to compute a linear approximation parallel to the geometrical position of the book crease. The resulting method leads to a robust and fast computation. It provides us with a reliable dewarping output even for weak measurements given by a light sectioning method of top view scanners.