• DocumentCode
    1938128
  • Title

    Mesh Segmentation - A Comparative Study

  • Author

    Attene, M. ; Katz, S. ; Mortara, M. ; Patané, G. ; Spagnuolo, M. ; Tal, A.

  • Author_Institution
    IMATI, CNR
  • fYear
    2006
  • fDate
    14-16 June 2006
  • Firstpage
    7
  • Lastpage
    7
  • Abstract
    Mesh segmentation has become an important component in many applications in computer graphics. In the last several years, many algorithms have been proposed in this growing area, offering a diversity of methods and various evaluation criteria. This paper provides a comparative study of some of the latest algorithms and results, along several axes. We evaluate only algorithms whose code is available to us, and thus it is not a comprehensive study. Yet, it sheds some light on the vital properties of the methods and on the challenges that future algorithms should face
  • Keywords
    computer graphics; image segmentation; mesh generation; computer graphics; mesh segmentation; Application software; Clustering algorithms; Computer graphics; Computer vision; Context modeling; Curve fitting; Diversity methods; Face detection; Shape; Skeleton;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Shape Modeling and Applications, 2006. SMI 2006. IEEE International Conference on
  • Conference_Location
    Matsushima
  • Print_ISBN
    0-7695-2591-1
  • Type

    conf

  • DOI
    10.1109/SMI.2006.24
  • Filename
    1631191