• DocumentCode
    3418277
  • Title

    A novel 3D surface modeling based on Spatial Neighbor Points Coupling in reverse engineering

  • Author

    Xu, Huipu ; Hu, Ying ; Chen, Yuqing ; Ma, Zi ; Wu, Defeng

  • Author_Institution
    Autom. Res. Center, Dalian Maritime Univ., Dalian, China
  • Volume
    5
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Abstract
    A novel 3D surface modeling method - 3D Surface Modeling based on Spatial Neighbor Points Coupling (SMSNPC) for scattered data points is addressed in this article. The main contribution contains two aspects: First, the 3D model of complex surface can be reconstructed through SMSNPC. Then, model parameters are recognized with Artificial Neural Network (ANN). To demonstrate the efficient applicability of the new algorithm, two groups of point data are presented. One collected by handheld laser scanner is used to validate the reconstruction result, and the other is used to be compared with non-coupling modeling. From the results, the new approach validates the expectation that SMSNPC can match the real complex surface satisfactorily which can´t be finished by non-coupling modeling. By comparing the same sample data with non-coupling modeling, it is shown the reconstruction precision of SMSNPC is much higher.
  • Keywords
    computational geometry; neural nets; optical scanners; reverse engineering; solid modelling; 3D surface modeling method; ANN; artificial neural network; handheld laser scanner; reverse engineering; spatial neighbor points coupling; Artificial neural networks; Clouds; Design automation; Equations; Laser modes; Reverse engineering; Stochastic resonance; Stochastic systems; Surface emitting lasers; Surface reconstruction; coupling; reverse engineering; scattered points; surface modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Design and Applications (ICCDA), 2010 International Conference on
  • Conference_Location
    Qinhuangdao
  • Print_ISBN
    978-1-4244-7164-5
  • Electronic_ISBN
    978-1-4244-7164-5
  • Type

    conf

  • DOI
    10.1109/ICCDA.2010.5540854
  • Filename
    5540854