Abstract
We present a framework for acquiring and restoring images of warped documents. The purpose of our restoration is to create a planar representation of a once planar document that has undergone an arbitrary and unknown rigid deformation. To accomplish this restoration, our framework acquires and flattens the 3D shape of a warped document to determine a nonlinear image transform that can correct for image distortion caused by the document's shape. Our framework is designed for use in library and museum digitization efforts where very old and badly damaged manuscripts are imaged.
| Original language | English |
|---|---|
| Pages (from-to) | 1295-1306 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| Volume | 26 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 2004 |
Bibliographical note
Funding Information:The authors gratefully acknowledge support for this work under the US National Science Foundation grant IIS-9817483 and the Hong Kong Research Grant Council grant
Funding
The authors gratefully acknowledge support for this work under the US National Science Foundation grant IIS-9817483 and the Hong Kong Research Grant Council grant
| Funders | Funder number |
|---|---|
| National Science Foundation (NSF) | IIS-9817483 |
| Research Grants Council, University Grants Committee |
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Artificial Intelligence
- Applied Mathematics