• DocumentCode
    2619262
  • Title

    Mesh denoising based on differential coordinates

  • Author

    Su, Zhi-Xun ; Wang, Hui ; Cao, Jun-Jie

  • Author_Institution
    Dept. of Appl. Mathematica, Dalian Univ. of Technol., Dalian, China
  • fYear
    2009
  • fDate
    26-28 June 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we propose a novel triangle mesh denoising method based on the differential coordinates. The proposed approach consists of the application of the mean filter to differential coordinates of the mesh and the reconstruction of mesh vertices´ Cartesian coordinates to make them fit to the modified differential coordinates. The presented method is simple, stable and able to effectively remove large noise. Experimental results demonstrate that the proposed Mesh Mean Filter does not cause surface shrinkage and shape distortion during the denoising process, and preserves geometric detail features to a certain extent.
  • Keywords
    computational geometry; filtering theory; mesh generation; signal denoising; signal reconstruction; Cartesian coordinate; differential coordinate; mean filter; mesh reconstruction; triangle mesh denoising method; Filtering; Finite impulse response filter; IIR filters; Low pass filters; Noise reduction; Noise shaping; Optical noise; Shape; Smoothing methods; Wiener filter; differential coordinates; mean filter; mesh denoising;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Shape Modeling and Applications, 2009. SMI 2009. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4069-6
  • Electronic_ISBN
    978-1-4244-4070-2
  • Type

    conf

  • DOI
    10.1109/SMI.2009.5170156
  • Filename
    5170156