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Topology-based Simplification for Feature Extraction from 3D Scalar Fields
Author(s) -
Attila Gyulassy,
Vijay Natarajan,
Valerio Pascucci,
PeerTimo Bremer,
Bernd Hamann
Publication year - 2006
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1109/vis.2005.106
Subject(s) - topology (electrical circuits) , feature extraction , computer science , scalar (mathematics) , artificial intelligence , pattern recognition (psychology) , mathematics , geometry , combinatorics
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 pro- vides 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.

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