OASIcs.VLUDS.2010.55.pdf
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On Moving Least Squares Based Flow Visualization
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Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop) (VLUDS 2010)
Series: Open Access Series in Informatics (OASIcs) - License:
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license
- Publication Date: 2011-04-13
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Harald Obermaier, Martin Hering-Bertram, Jörg Kuhnert, and Hans Hagen. On Moving Least Squares Based Flow Visualization. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 55-63, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
https://doi.org/10.4230/OASIcs.VLUDS.2010.55
https://doi.org/10.4230/OASIcs.VLUDS.2010.55
Abstract
Modern simulation and measurement methods tend to produce meshfree data sets if modeling of processes or objects with free surfaces or boundaries is desired. In Computational Fluid Dynamics (CFD), such data sets are described by particle-based vector fields. This paper presents a summary of a selection of methods for the extraction of geometric features of such point-based vector fields while pointing out its challenges, limitations, and applications.
Keywords
- Moving Least Squares
- Approximation
- Flow
- Scientific Visualization
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