Frank C Langbein
Ex Tenebris Scientia
Contents
Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Frank C. Langbein

In: Proc. IEEE Conf. Shape Modelling and Applications, IEEE Computer Society, p. 37-45, 2008.
ISBN 9781424422609.

[DOI: 10.1109/SMI.2008.4547945] [Preprint]

[Presentation]

This paper discusses noise in range data measured by a Konica Minolta Vivid 910 scanner. Previous papers considering denoising 3D mesh data have often used artificial data comprising Gaussian noise, which is independently distributed at each mesh point. Measurements of an accurately machined, almost planar test surface indicate that real scanner data does not have such properties. An initial characterisation of real scanner noise for this test surface shows that the errors are not quite Gaussian, and more importantly, exhibit significant short range correlation. This analysis yields a simple model for generating noise with similar characteristics. We also examine the effect of two typical mesh denoising algorithms on the real noise present in the test data. The results show that new denoising algorithms are required to effectively remove real scanner noise.

@INPROCEEDINGS{Sun2008a,
  author =       {Xianfang Sun and Paul L. Rosin and Ralph R. Martin
                  and Frank C. Langbein},
  title =        {Noise in 3D Laser Range Scanner Data},
  booktitle =    {Proc. IEEE Conf. Shape Modelling and Applications},
  year =         {2008},
  pages =        {37-45},
  publisher =    {IEEE Computer Society},
  isbn =         {9781424422609},
  doi =          {10.1109/SMI.2008.4547945},
  url =          {http://www.langbein.org/research/surfaces/filtering/sun2008a/}
  abstract =     {This paper discusses noise in range data measured by
                  a Konica Minolta Vivid 910 scanner. Previous papers
                  considering denoising 3D mesh data have often used
                  artificial data comprising Gaussian noise, which is
                  independently distributed at each mesh point.
                  Measurements of an accurately machined, almost
                  planar test surface indicate that real scanner data
                  does not have such properties. An initial
                  characterisation of real scanner noise for this test
                  surface shows that the errors are not quite
                  Gaussian, and more importantly, exhibit significant
                  short range correlation. This analysis yields a
                  simple model for generating noise with similar
                  characteristics. We also examine the effect of two
                  typical mesh denoising algorithms on the real noise
                  present in the test data. The results show that new
                  denoising algorithms are required to effectively
                  remove real scanner noise.}
}
Cite as Noise in 3D Laser Range Scanner Data, http://www.langbein.org/research/manifolds/filtering/sun2008a/ by Frank C Langbein [31/March/2009, 14:49].
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