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16th IEEE Visualization 2005 (VIS 2005)
Topology-based Simplification for Feature Extraction from 3D Scalar Fields
Minneapolis, Minnesota
October 23-October 28
ISBN: 0-7803-9462-3
Attila Gyulassy, University of California, Davis
Vijay Natarajan, University of California, Davis
Valerio Pascucci, Lawrence Livermore National Lab
Peer-Timo Bremer, University of Illinois, Urbana Champaign
Bernd Hamann, UC, Davis
In this paper, we present a topological approach for simplifying continuous functions defined on volumetric domains. We introduce two atomic operations that remove pairs of critical points of the function and design a combinatorial algorithm that simplifies the Morse-Smale complex by repeated application of these operations. The Morse-Smale complex is a topological data structure that provides a compact representation of gradient flow between critical points of a function. Critical points paired by the Morse-Smale complex identify topological features and their importance. The simplification procedure leaves important critical points untouched, and is therefore useful for extracting desirable features. We also present a visualization of the simplified topology.
Index Terms:
Morse theory, Morse-Smale complexes, computational topology, multiresolution, simplification, feature detection, 3D scalar fields.
Citation:
Attila Gyulassy, Vijay Natarajan, Valerio Pascucci, Peer-Timo Bremer, Bernd Hamann, "Topology-based Simplification for Feature Extraction from 3D Scalar Fields," ieee_vis, pp.68, 16th IEEE Visualization 2005 (VIS 2005), 2005
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