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Topological Visualisation Techniques for Volume Multifield Data

Dean Thomas, Rita Borgo Orcid Logo, Bob Laramee Orcid Logo, Simon Hands

Computer Graphics and Imaging

Swansea University Authors: Dean Thomas, Rita Borgo Orcid Logo, Bob Laramee Orcid Logo, Simon Hands

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DOI (Published version): 10.5772/intechopen.82185

Abstract

This survey paper provides an overview of topological visualisation techniques for scalar data sets. Topological algorithms are used to reduce scalar fields to a skeleton by mapping critical changes in the topology to the vertices of graph structures. These can be visualised using graph drawing tech...

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Published in: Computer Graphics and Imaging
ISBN: 978-1-83962-282-3 978-1-83962-283-0
Published: IntechOpen 2018
URI: https://cronfa.swan.ac.uk/Record/cronfa52576
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Abstract: This survey paper provides an overview of topological visualisation techniques for scalar data sets. Topological algorithms are used to reduce scalar fields to a skeleton by mapping critical changes in the topology to the vertices of graph structures. These can be visualised using graph drawing techniques or used as a method of seeding meshes of distinct objects existing in the data. Many techniques are discussed in detail, beginning with a review of algorithms working on scalar fields defined with a single variable, and then generalised to multivariate and temporal data. The survey is completed with a discussion of methods of presenting data in higher dimensions.
College: Faculty of Science and Engineering