License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license (CC BY-NC-ND 3.0)
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DOI: 10.4230/OASIcs.VLUDS.2010.55
URN: urn:nbn:de:0030-drops-30979
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2011/3097/
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Obermaier, Harald ; Hering-Bertram, Martin ; Kuhnert, Jörg ; Hagen, Hans

On Moving Least Squares Based Flow Visualization

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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.

BibTeX - Entry

@InProceedings{obermaier_et_al:OASIcs:2011:3097,
  author =	{Harald Obermaier and Martin Hering-Bertram and J{\"o}rg Kuhnert and Hans Hagen},
  title =	{{On Moving Least Squares Based Flow  Visualization}},
  booktitle =	{Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)},
  pages =	{55--63},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-29-3},
  ISSN =	{2190-6807},
  year =	{2011},
  volume =	{19},
  editor =	{Ariane Middel and Inga Scheler and Hans Hagen},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2011/3097},
  URN =		{urn:nbn:de:0030-drops-30979},
  doi =		{10.4230/OASIcs.VLUDS.2010.55},
  annote =	{Keywords: Moving Least Squares, Approximation, Flow, Scientific Visualization  }
}

Keywords: Moving Least Squares, Approximation, Flow, Scientific Visualization
Collection: Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)
Issue Date: 2011
Date of publication: 13.04.2011

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