• DocumentCode
    3498902
  • Title

    A Point Sets Smoothing Algorithm Using Curvature Flow

  • Author

    Cao, Xiao-ye ; Wang, Zhi-Yan ; Zhang, Yan-qing

  • Author_Institution
    Coll. of Comput. Sci. & Technol., South China Univ. of Technol., Guangzhou
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    2956
  • Lastpage
    2959
  • Abstract
    We present a method for anisotropic fairing of point sets, which based on the covariance analysis and the efficiently constructed curvature. We use principal curvatures to detect features such as edges. Anisotropic curvature flow allows prominent surface features and other details of the objects to be treated in different ways. It is able to retain and even enhance important features such as edges and corners on the surface. We define such a diffusion flow which allows the point moving along the normal with a speed equal to the curvature. Since the point is moved along the normal direction, the proposed curvature flow will not introduce undesirable points drifting over the surface.
  • Keywords
    covariance analysis; edge detection; feature extraction; image denoising; image enhancement; smoothing methods; stereo image processing; anisotropic curvature flow; anisotropic point set fairing; covariance analysis; diffusion flow; edge detection; feature detection; feature enhancement; point set smoothing algorithm; principal curvature; surface features; Anisotropic magnetoresistance; Geometry; Least squares approximation; Multilevel systems; Noise reduction; Noise shaping; Signal processing algorithms; Smoothing methods; Surface fitting; Surface treatment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1311-9
  • Type

    conf

  • DOI
    10.1109/WICOM.2007.734
  • Filename
    4340509