Multiview Rectification of Folded Documents

Date

2018

Authors

You, Shaodi
Matsushita, Yasuyuki
Sinha, Sudipta
Bou, Yusuke
Ikeuchi, Katsushi

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

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 ℓ 1 conformal mapping. We present results on several examples including book pages, folded letters and shopping receipts.

Description

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Citation

Source

IEEE Transactions on Pattern Analysis and Machine Intelligence

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

DOI

10.1109/TPAMI.2017.2675980

Restricted until

2040-01-01