• DocumentCode
    1924526
  • Title

    Noise in 3D laser range scanner data

  • Author

    Sun, Xianfang ; Rosin, Paul L. ; Martin, Ralph R. ; Langbein, Frank C.

  • Author_Institution
    Cardiff Univ., Cardiff
  • fYear
    2008
  • fDate
    4-6 June 2008
  • Firstpage
    37
  • Lastpage
    45
  • 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.
  • Keywords
    image denoising; mesh generation; optical scanners; solid modelling; 3D laser range scanner; Konica Minolta Vivid 910 scanner; mesh denoising; noise modeling; real scanner noise; Gaussian noise; Laser modes; Laser noise; Noise generators; Noise measurement; Noise reduction; Noise shaping; Optical noise; Testing; White noise; 3D laser scanner; Fourier analysis; G.1.2 [Numerical Analysis]: Approximation—Approximation of surfaces and contours; I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling—Curve, surface, solid, and object representations; correlation analysis; noise modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Shape Modeling and Applications, 2008. SMI 2008. IEEE International Conference on
  • Conference_Location
    Stony Brook, NY
  • Print_ISBN
    978-1-4244-2260-9
  • Electronic_ISBN
    978-1-4244-2261-6
  • Type

    conf

  • DOI
    10.1109/SMI.2008.4547945
  • Filename
    4547945