title: Multiview Rectification of Folded Documents.
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 conformal mapping. We present results on several examples including book pages, folded letters and shopping receipts.
authors.forename: Shaodi
authors.initials: S
authors.lastname: You
authors.forename: Yasuyuki
authors.initials: Y
authors.lastname: Matsushita
authors.forename: Sudipta
authors.initials: S
authors.lastname: Sinha
authors.forename: Yusuke
authors.initials: Y
authors.lastname: Bou
authors.forename: Katsushi
authors.initials: K
authors.lastname: Ikeuchi