ML Anthology

Undoing Paper Curl Distortion Using Applicable Surfaces

Maurizio Pilu
CVPR 2001 pp. I:67-72
doi:10.1109/CVPR.2001.990457 /cvpr/2001/pilu2001cvpr-undoing/

Abstract

The work presented is concerned with the reconstruction of the original undistorted image of a curled document or book when captured face-up by a camera with the support of sparse depth measurements. A novel method based on physically modeling paper deformation with an applicable surface is proposed and a relaxation algorithm is described that allows us to fit it to noisy data and then flatten it in order to produce the final undistorted image. The promising results obtained confirm that the use of applicable surfaces is the right way to address this problem.

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Cite

Text

Pilu. "Undoing Paper Curl Distortion Using Applicable Surfaces." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001. doi:10.1109/CVPR.2001.990457

Markdown

[Pilu. "Undoing Paper Curl Distortion Using Applicable Surfaces." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001.](https://mlanthology.org/cvpr/2001/pilu2001cvpr-undoing/) doi:10.1109/CVPR.2001.990457

BibTeX

@inproceedings{pilu2001cvpr-undoing,
  title     = {{Undoing Paper Curl Distortion Using Applicable Surfaces}},
  author    = {Pilu, Maurizio},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2001},
  pages     = {I:67-72},
  doi       = {10.1109/CVPR.2001.990457},
  url       = {https://mlanthology.org/cvpr/2001/pilu2001cvpr-undoing/}
}