ML Anthology

Multi-View Document Rectification Using Boundary

Yau-Chat Tsoi, Michael S. Brown
CVPR 2007
doi:10.1109/CVPR.2007.383251 /cvpr/2007/tsoi2007cvpr-multi/

Abstract

We present a novel technique that uses multiple images of bound and folded documents to rectify the imaged content such that it appears flat and photometrically uniform. Our approach works from a sparse set of uncalibrated views of the document which are mapped to a canonical coordinate frame using the document's boundary. A composite image is constructed from these canonical views that significantly reduces the effects of depth distortion without the blurring artifacts that is problematic in single image approaches. In addition, we propose a new technique to estimate illumination variation in the individual images allowing the final composited content to be photometrically rectified. Our approach is straight-forward, robust, and produces good results.

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Cite

Text

Tsoi and Brown. "Multi-View Document Rectification Using Boundary." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.383251

Markdown

[Tsoi and Brown. "Multi-View Document Rectification Using Boundary." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/tsoi2007cvpr-multi/) doi:10.1109/CVPR.2007.383251

BibTeX

@inproceedings{tsoi2007cvpr-multi,
  title     = {{Multi-View Document Rectification Using Boundary}},
  author    = {Tsoi, Yau-Chat and Brown, Michael S.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2007},
  doi       = {10.1109/CVPR.2007.383251},
  url       = {https://mlanthology.org/cvpr/2007/tsoi2007cvpr-multi/}
}