Journal of Shanghai Jiaotong University

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Study on the Choice of Disciplinal Function During Point Cloud Smoothing Based on Anisotropic Heat Diffusion

ZHANG Xue-chang1, JIA Zhi-xin1, CHEN Xiao-bo2, XI Jun-tong2,YANG Guang-quan2   

  1. (1. School of Mechanical Engineering, Ningbo Institute of Technology, Zhejiang University,
    Ningbo 315100, China; 2. School of Mechanical Engineering, Shanghai Jiaotong University,
    Shanghai 200240, China)
  • Received:2007-06-18 Revised:1900-01-01 Online:2008-10-28 Published:2008-10-28
  • Contact: ZHANG Xue-chang

Abstract: The smoothing method based on the heat diffusion has a good effect to the point cloud with noise points, but how to choose a proper disciplinal function to smooth the point cloud is no answer. This paper proposed a method to decide the disciplinal function based on the fuzzy mathematics’s relevant function concept. The six special functions, such as drop semirectangle function, drop semiГ function, drop seminormal function, drop semiCauchy function, drop semitrapezia function and drop semimountain function, were analyzed. The answer was gotten that the variant has a nonlinear relationship with the result of disciplinal function. Some cases were used to validate the characteristics of disciplinal function. There is a new way to handle the point cloud during the preprocessing of reverse engineering or complex surface inspection.

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