• DocumentCode
    1894793
  • Title

    Volume tracking

  • Author

    Silver, D. ; Wang, X.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA
  • fYear
    1996
  • fDate
    Oct. 27 1996-Nov. 1 1996
  • Firstpage
    157
  • Lastpage
    164
  • Abstract
    3D time varying datasets are difficult to visualize and analyze because of the immense amount of data involved. This is especially true when the datasets are turbulent with many evolving amorphous regions, as it is difficult to observe patterns and follow regions of interest. We present our volume based feature tracking algorithm and discuss how it can be used to help visualize and analyze large time varying datasets. We also address efficiency issues in dealing with massive time varying datasets.
  • Keywords
    data visualisation; 3D time varying datasets; computer vision; evolving amorphous regions; large time varying datasets; massive time varying datasets; scientific visualization; volume based feature tracking algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visualization '96. Proceedings.
  • Conference_Location
    San Francisco, CA, USA
  • Print_ISBN
    0-89791-864-9
  • Type

    conf

  • DOI
    10.1109/VISUAL.1996.567807
  • Filename
    567807
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1894793