1. Multiview Rectification of Folded Documents.
- Author
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You, Shaodi, Matsushita, Yasuyuki, Sinha, Sudipta, Bou, Yusuke, and Ikeuchi, Katsushi
- Subjects
IMAGE recognition (Computer vision) ,THREE-dimensional imaging ,TEXT recognition ,SCANNING systems ,DIGITAL image processing ,SURFACE geometry - Abstract
Digitally unwrapping images of paper sheets is crucial for accurate document scanning and text recognition. This paper presents a method for automatically rectifying curved or folded paper sheets from a few images captured from multiple viewpoints. Prior methods either need expensive 3D scanners or model deformable surfaces using over-simplified parametric representations. In contrast, our method uses regular images and is based on general developable surface models that can represent a wide variety of paper deformations. Our main contribution is a new robust rectification method based on ridge-aware 3D reconstruction of a paper sheet and unwrapping the reconstructed surface using properties of developable surfaces via $\ell _1$
conformal mapping. We present results on several examples including book pages, folded letters and shopping receipts. [ABSTRACT FROM AUTHOR]- Published
- 2018
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