• DocumentCode
    3300809
  • Title

    3D Model Retrieval Based on Projected Area at Mesh Vertex

  • Author

    Xiaofeng, Chen ; Chuanwei, Gong ; Xutang, Zhang ; Lijun, Jiang

  • Author_Institution
    Sch. of Mechatron. Eng., Harbin Inst. of Technol., Harbin, China
  • fYear
    2012
  • fDate
    July 31 2012-Aug. 2 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The conventional shape feature-based method did not describe the local feature enough. This paper proposed a new 3D model retrieval method based on projected area at mesh vertex. First, sum the projected area on vertical plane of the normal vector at mesh vertex, then normalized the list of the projected area distributions and transfer these data by Fourier transform method. Then the result is defined as 3D model´s feature vector which can be used to calculate the similarity of different models. Experiments were conducted to evaluate the proposed algorithm utilizing the Engineering Shape Benchmark (ESB) database. The experiential results show that the proposed methods effectively reflect the similarity among engineering models, and the match result of the models is accurate and the retrieval performance is significantly improved compared to traditional shape distribution method.
  • Keywords
    Fourier transforms; engineering computing; feature extraction; image retrieval; mesh generation; shape recognition; solid modelling; 3D model retrieval; ESB database; Fourier transform method; engineering model similarity; engineering shape benchmark; feature vector; mesh vertex; normal vector; projected area distribution; retrieval performance; shape distribution method; Computational modeling; Databases; Feature extraction; Fourier transforms; Shape; Solid modeling; Vectors; 3D model retrieval; Fourier transform; Projected area;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on
  • Conference_Location
    GuiLin
  • Print_ISBN
    978-1-4673-2217-1
  • Type

    conf

  • DOI
    10.1109/ICDMA.2012.1
  • Filename
    6298704