| Abstract |
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This work 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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 Additional Information
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Citation:
Maurizio Pilu,
"Undoing Paper Curl Distortion Using Applicable Surfaces,"
cvpr,
p. 67,
2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1,
2001
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