• DocumentCode
    594786
  • Title

    A sketch-based 3D model retrieval system

  • Author

    Ke Ding ; Yunhui Liu

  • Author_Institution
    Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    601
  • Lastpage
    604
  • Abstract
    In this paper, we propose a 3D model retrieval system using sketch queries. The 3D model is described by a single characteristic view with the biggest exposure opportunity. The sketch query and the characteristic view are divided into several parts. Each part is quantized into a Fourier descriptor, and the spatial arrangements of these parts are measured by the graph spectra. Our contributions are as follows: (1) We propose a new characteristic view, namely, the Biggest Exposure Opportunity View (BEOV) to represent a 3D model; (2) The details inside the sketch query and the BEOV are considered. Experiments were evaluated using the Princeton shape benchmark data sets. Our approach improves the retrieval precision and reduces the computational cost when compared with the National Taiwan University (NTU) 3D model search engine [1].
  • Keywords
    Fourier analysis; graph theory; query processing; search engines; solid modelling; BEOV; Fourier descriptor; NTU; National Taiwan University 3D model search engine; Princeton shape benchmark data sets; biggest exposure opportunity view; computational cost; graph spectra; sketch queries; sketch-based 3D model retrieval system; Cameras; Computational modeling; Laplace equations; Search engines; Shape; Solid modeling; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460206