Large steps in cloth simulation
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
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
Digital restoration using volumetric scanning
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Restoring 2D Content from Distorted Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
Photometric and geometric restoration of document images using inpainting and shape-from-shading
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
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
| Hi-index | 0.00 |
We present a framework for acquiring and restoring images of warped documents to their original planar shapes. Image capturing of warped documents often results in warped images. Most digital restoration approaches make use of 2D image processing methods which are dependent on the content of the images. Some recent work attempts to remove this constraint by working directly on the 3D shape of the warped documents. In our framework, we will improve on this recent approach to make it more efficient and stable. First we capture the warped surface representation through a set of active lighting from a laser range scanner onto the document surface. This gives us an accurate 3D representation of the document shape. Next by using a stick constraint and a stable numerical integrator, we can digitally flatten the 3D model to a planar shape. This simple approach avoids potential instability problem and is fast. Restoration results for a few types of warped documents are demonstrated and a significant improvement over the original images can be observed.