• DocumentCode
    18564
  • Title

    View-Based 3D Object Retrieval: Challenges and Approaches

  • Author

    Yue Gao ; Qionghai Dai

  • Author_Institution
    Tsinghua Univ., Beijing, China
  • Volume
    21
  • Issue
    3
  • fYear
    2014
  • fDate
    July-Sept. 2014
  • Firstpage
    52
  • Lastpage
    57
  • Abstract
    View-based 3D object retrieval is an emerging research topic that has numerous geographic-related applications in many fields, such as computer-aided design (CAD) and virtual city navigation. This article briefly introduces the recent research progress in view-based 3D object retrieval by reviewing advances and identifying challenges in this field.
  • Keywords
    feature extraction; image capture; image matching; image retrieval; computer-aided design; geographic-related applications; view-based 3D object retrieval; virtual city navigation; Arrays; Bipartite graph; Cameras; Computational modeling; Feature extraction; Learning systems; Solid modeling; 3D modeling; 3D object retrieval; multimedia; multiple views; object matching;
  • fLanguage
    English
  • Journal_Title
    MultiMedia, IEEE
  • Publisher
    ieee
  • ISSN
    1070-986X
  • Type

    jour

  • DOI
    10.1109/MMUL.2014.20
  • Filename
    6756714