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dc.contributor.authorThomas, Dean P.
dc.contributor.authorHands, Simon
dc.contributor.authorBorgo, Rita
dc.contributor.authorLaramee, Robert S.
dc.date.accessioned2021-06-02T10:11:55Z
dc.date.available2021-06-02T10:11:55Z
dc.date.issued2019
dc.identifierONIX_20210602_10.5772/intechopen.82185_424
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/49310
dc.description.abstractThis 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.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UM Computer programming / software development::UML Graphics programming
dc.subject.otherindirect volume rendering, topology driven visualisation, multivariate visualisation, contour tree, Reeb graph, Reeb space, joint contour net, Reeb skeleton, scalar data
dc.titleChapter Topological Visualisation Techniques for Volume Multifield Data
dc.typechapter
oapen.identifier.doi10.5772/intechopen.82185
oapen.relation.isPublishedBy09f6769d-48ed-467d-b150-4cf2680656a1
oapen.relation.isFundedByFP7-INFRASTRUCTURES-2007-2
oapen.grant.number222919
oapen.grant.number631111
oapen.grant.acronymDEISA2
oapen.grant.acronymCHEMABEL


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