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2014 | OriginalPaper | Buchkapitel

17. Feature-Based Visualization of Multifields

verfasst von : Harald Obermaier, Ronald Peikert

Erschienen in: Scientific Visualization

Verlag: Springer London

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Abstract

Feature-based techniques are one of the main categories of methods used in scientific visualization. Features are structures in a dataset that are meaningful within the scientific or engineering context of the dataset. Extracted features can be visualized directly, or they can be used indirectly for modifying another type of visualization. In multifield data, each of the component fields can be searched for features, but in addition, there can be features of the multifield which rely on information form several of its components and which cannot be found by searching in a single field. In this chapter we give a survey of feature-based visualization of multifields, taking both of these feature types into account.

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Vorheriges Kapitel Visual Exploration of Multivariate Volume Data Based on Clustering

Nächstes Kapitel Feature Analysis in Multifields

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Titel: Feature-Based Visualization of Multifields
verfasst von: Harald Obermaier
Ronald Peikert
Verlag: Springer London
Buch: Scientific Visualization
Print ISBN: 978-1-4471-6496-8

Electronic ISBN: 978-1-4471-6497-5

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-1-4471-6497-5_17

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