• DocumentCode
    2359044
  • Title

    Shape-based 3D model retrieval

  • Author

    Song, Jeong-Jun ; Golshani, Forouzan

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Arizona State Univ., Tempe, AZ, USA
  • fYear
    2003
  • fDate
    3-5 Nov. 2003
  • Firstpage
    636
  • Lastpage
    640
  • Abstract
    Two feature extraction methods for shape similarity based retrieval of 3D object models are presented. The proposed methods, which result in more effective and robust techniques for searching 3D models by similarity, support two essential query modes, namely, query by 3D model and query by 2D image. Our feature extraction scheme is inspired by observation of human behavior in recognizing 3D objects in practice. The process of extracting spatial arrangement from a 3D object surface and 2D shape features from projection images are achieved by adopting curvature distribution of the model surfaces and Fourier descriptors of the projection images.
  • Keywords
    Fourier transforms; feature extraction; image retrieval; solid modelling; visual databases; 2D shape features; 3D object model; 3D object surface; Fourier descriptors; curvature distribution; feature extraction; model surfaces; projection images; query processing; shape similarity based retrieval; shape-based 3D model retrieval; spatial arrangement extraction; Computer graphics; Data mining; Feature extraction; Information retrieval; Multimedia systems; Object recognition; Robustness; Shape; Solid modeling; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2003. Proceedings. 15th IEEE International Conference on
  • ISSN
    1082-3409
  • Print_ISBN
    0-7695-2038-3
  • Type

    conf

  • DOI
    10.1109/TAI.2003.1250251
  • Filename
    1250251