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
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.;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2011.272