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
Link To Document