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Topological Visualisation Techniques for Volume Multifield Data
Computer Graphics and Imaging
Swansea University Authors:
Dean Thomas, Rita Borgo , Bob Laramee
, Simon Hands
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© 2018 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License
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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...
Published in: | Computer Graphics and Imaging |
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ISBN: | 978-1-83962-282-3 978-1-83962-283-0 |
Published: |
IntechOpen
2018
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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. |
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College: |
Faculty of Science and Engineering |