• DocumentCode
    1677723
  • Title

    A simple and efficient approach for 3D model decomposition

  • Author

    Alizadeh, Farzad ; Sutherland, Alexandria ; Dehghani, Abbas

  • Author_Institution
    Sch. of Comput., Dublin City Univ., Dublin, Ireland
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Number of 3D models is growing every day. Segmentation of such models has recently attracted lot of attentions. In this paper we propose a two-phase approach for segmentation of 3D models. We leveraged a well-known fact from electrical physics for both initial segment specification and boundary detections. The first phase tries to locate the initial segments having higher charge density while the second phase, leverages the minima rule and geodesic distance to find the boundary parts in the concave areas. The proposed approach has a great advantage over the similar approach proposed by Wu and Levine [1]. The experimental result on the SHREC 2007 dataset show the promising results for partial matching in 3D model retrieval.
  • Keywords
    image segmentation; solid modelling; 3D model decomposition; 3D model segmentation; boundary detections; concave areas; electrical physics; geodesic distance; initial segment specification; minima rule; Computational modeling; Educational institutions; Mathematical model; Object segmentation; Physics; Solid modeling; Three-dimensional displays; 3D model segmentation; Charge density; minima rule; model retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on
  • Conference_Location
    Zanjan
  • ISSN
    2166-6776
  • Print_ISBN
    978-1-4673-6182-8
  • Type

    conf

  • DOI
    10.1109/IranianMVIP.2013.6779939
  • Filename
    6779939