Shape from shading for the digitization of curved documents
Machine Vision and Applications
Restoring 2D Content from Distorted Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
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ICCHP '08 Proceedings of the 11th international conference on Computers Helping People with Special Needs
Composition of a dewarped and enhanced document image from two view images
IEEE Transactions on Image Processing
Shape from contour for the digitization of curved documents
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Book scanner dewarping with weak 3d measurements and a simplified surface model
DGCI'08 Proceedings of the 14th IAPR international conference on Discrete geometry for computer imagery
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Exploring ambiguities for monocular non-rigid shape estimation
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Stereo camera based wearable reading device
AH '12 Proceedings of the 3rd Augmented Human International Conference
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DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
An image based performance evaluation method for page dewarping algorithms using SIFT features
CBDAR'11 Proceedings of the 4th international conference on Camera-Based Document Analysis and Recognition
A page content independent book dewarping method to handle 2D images captured by a digital camera
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Laplacian meshes for monocular 3d shape recovery
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
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Compared to scanned images, document pictures captured by camera can suffer from distortions due to perspective and page warping. It is necessary to restore a frontal planar view of the page before other OCR techniques can be applied. In this paper we describe a novel approach for flattening a curved document in a single picture captured by an uncalibrated camera. To our knowledge this is the first reported method able to process general curved documents in images without camera calibration. We propose to model the page surface by a developable surface, and exploit the properties (parallelism and equal line spacing) of the printed textual content on the page to recover the surface shape. Experiments show that the output images are much more OCR friendly than the original ones. While our method is designed to work with any general developable surfaces, it can be adapted for typical special cases including planar pages, scans of thick books, and opened books.