• DocumentCode
    167781
  • Title

    A novel suface reconstruction method for noisy point cloud

  • Author

    Wenrui Wan

  • Author_Institution
    Sch. of Art & Design, NanChang HangKong Univ. of Technol., Nanchang, China
  • fYear
    2014
  • fDate
    8-9 May 2014
  • Firstpage
    952
  • Lastpage
    955
  • Abstract
    Point-sampled models generated by 3D-scanning devices are invariably noisy. It is necessary to remove the inevitable noise before realizing surface reconstruction while preserving the underlying surface features in computer graphics. But the point cloud will be incomplete after denoising. In this paper, a novel and surface reconstruction method for noisy point cloud is proposed. First, the noises of the point cloud are deleted by robust ellipsoid criterion, then a surface reconstruction method based on neural network is used to reconstruct surface.
  • Keywords
    computer graphics; image reconstruction; radial basis function networks; 3D-scanning devices; computer graphics; image denoising; neural network; noisy point cloud; point-sampled models; radial basis function neural network; robust ellipsoid criterion; surface reconstruction method; Artificial neural networks; Computers; Laser modes; Laser noise; Surface reconstruction; ellipsoid criterion; nerual network; point cloud; surface reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computer and Applications, 2014 IEEE Workshop on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/IWECA.2014.6845779
  • Filename
    6845779
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=167781