Conformal Deskewing of Non-Planar Documents

Authors:
Michael S. Brown;Charles J. Pisula
Affiliations:
California State University at Monterey Bay;Apple
Venue:
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Year:
2005

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Abstract

This paper presents an approach that uses conformal mapping to parameterize a documentýs 3D shape to a 2D plane. Using this conformal parametrization, a restorative mapping between an image of the distorted document and a "flattened" representation of the document can be computed and used to deskew the image. Our experiments show that arbitrarily distorted documents can be restored to within a single pixel of their true planar format. In addition, surface points can be constrained to mapped to specified locations in the restored 2D plane.