• DocumentCode
    1894892
  • Title

    A Survey of 3D Head Model Retrieval

  • Author

    Gao, Boyong ; Zhang, Sanyuan

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Zhejiang Univ., Hangzhou, China
  • Volume
    1
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    515
  • Lastpage
    519
  • Abstract
    To retrieve non-rigid models and models of free-form surfaces is in actual demand, and the retrieval of 3D head models is very important in the field of entertainment, graphics design industry and medicine. Therefore, researchers are paying more attention to 3D head retrieval. This survey focuses on the relevant technique on 3D head model retrieval. Firstly, it concludes existing researches about feature extraction. Two kinds of approaches are introduced, namely common approaches and special approaches. Furthermore, special approaches are categorized into local feature based methods and global feature based methods. Secondly, the indexing technology and some prototype system are introduced. Finally, the paper performs an analysis and recommends some challenging topic.
  • Keywords
    data structures; feature extraction; information retrieval; information retrieval systems; solid modelling; 3D head model retrieval system; entertainment field; feature extraction; free-form surface model; global feature based method; graphics design industry; index structure technology; local feature based method; medicine field; nonrigid model retrieval; Computer science; Design automation; Electronic mail; Feature extraction; Humans; Indexing; Information retrieval; Magnetic heads; Shape; Solid modeling; 3D head model retrieval; feature extraction; index; prototype system; survey;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.131
  • Filename
    5287601