International Journal of Computer Vision
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
A Divide-and-conquer Strategy in Shape from Shading Problem
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Nonlinear Shape Restoration For Document Images
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Recovery of Distorted Document Images from Bound Volumes
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Rectifying the Bound Document Image Captured by the Camera: A Model Based Approach
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Geometric and Photometric Restoration of Distorted Documents
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Restoring Warped Document Images through 3D Shape Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape from shading for the digitization of curved documents
Machine Vision and Applications
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We are aiming at extending the basic digital camera functionalities to the ability to simulate the flattening of a document, by virtually acting like a flatbed scanner. Typically, the document is the warped page of an opened book. The problem is stated as a computer vision problem, whose resolution involves, in particular, a 3D reconstruction technique, namely shape from contour. Assuming that a photograph is taken by a camera in arbitrary position or orientation, and that the model of the document surface is a generalized cylinder, we show how the corrections of its geometric distortions, including perspective distortion, can be achieved from a single view of the document. The performances of the proposed technique are assessed and illustrated through experiments on real images.