• DocumentCode
    3117158
  • Title

    Surface denoising using a tight frame

  • Author

    Kakadiaris, I.A. ; Shen, L. ; Papadakis, M. ; Konstantinidis, I. ; Kouri, D. ; Hoffman, D.

  • Author_Institution
    Dept. of Comput. Sci., Houston Univ., TX
  • fYear
    2004
  • fDate
    19-19 June 2004
  • Firstpage
    553
  • Lastpage
    560
  • Abstract
    In this paper, we propose a new method to denoise a surface. This method is motivated by the Laplacian flow and the theory of tight frames. Mesh denoising is achieved by building local Wiener filtering into the detail representation of the surface. We have performed a number of experiments to assess the accuracy, advantages and limitations of our approach with very encouraging results
  • Keywords
    Wiener filters; computational geometry; image denoising; image reconstruction; mesh generation; smoothing methods; solid modelling; surface fitting; Laplacian flow; Wiener filtering; mesh denoising; surface denoising; tight frame theory; Computer graphics; Iterative methods; Laplace equations; Mathematics; Multidimensional signal processing; Noise reduction; Signal processing algorithms; Smoothing methods; Surface reconstruction; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics International, 2004. Proceedings
  • Conference_Location
    Crete
  • ISSN
    1530-1052
  • Print_ISBN
    0-7695-2171-1
  • Type

    conf

  • DOI
    10.1109/CGI.2004.1309264
  • Filename
    1309264
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3117158