@article{you2017multiview,
author = {You, Shaodi and Matsushita, Yasuyuki and Sinha, Sudipta and Bou, Yusuke and Ikeuchi, Katsushi},
title = {Multiview Rectification of Folded Documents},
year = {2017},
month = {March},
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 ℓ1 conformal mapping. We present results on several examples including book pages, folded letters and shopping receipts.},
publisher = {IEEE},
url = {http://approjects.co.za/?big=en-us/research/publication/multiview-rectification-folded-documents/},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
}