• DocumentCode
    1366131
  • Title

    Direct Feature Visualization Using Morse-Smale Complexes

  • Author

    Gyulassy, A. ; Kotava, N. ; Kim, M. ; Hansen, C.D. ; Hagen, H. ; Pascucci, V.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Utah, Salt Lake City, UT, USA
  • Volume
    18
  • Issue
    9
  • fYear
    2012
  • Firstpage
    1549
  • Lastpage
    1562
  • Abstract
    In this paper, we characterize the range of features that can be extracted from an Morse-Smale complex and describe a unified query language to extract them. We provide a visual dictionary to guide users when defining features in terms of these queries. We demonstrate our topology-rich visualization pipeline in a tool that interactively queries the MS complex to extract features at multiple resolutions, assigns rendering attributes, and combines traditional volume visualization with the extracted features. The flexibility and power of this approach is illustrated with examples showing novel features.
  • Keywords
    data visualisation; dictionaries; query languages; rendering (computer graphics); MS complex; Morse-Smale complexes; direct feature visualization; rendering attributes; topology-rich visualization pipeline; traditional volume visualization; unified query language; visual dictionary; Data structures; Data visualization; Feature extraction; Geometry; Manifolds; Vectors; Visualization; Volume visualization; applications; feature detection; topology.;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2011.272
  • Filename
    6065731