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Interactive Image-Space Volume Visualization for Dynamic Particle Simulations
VISUS – Visualization Research Center, University of Stuttgart, Germany.ORCID iD: 0000-0003-1511-5006
VISUS – Visualization Research Center, University of Stuttgart, Germany.
VISUS – Visualization Research Center, University of Stuttgart, Germany.
2010 (English)In: Proceedings of SIGRAD 2010: Content Aggregation and Visualization / [ed] Kai-Mikael Jää-Aro Thomas Larsson, Linköping University Electronic Press, 2010, p. 35-43Conference paper, Published paper (Refereed)
Abstract [en]

Particle-based simulation plays an important role in many different fields of science and engineering. Two common visualization approaches for the resulting data are glyph-based rendering and density sampling employing volume rendering. Fine geometric features are inherently captured by glyph-based methods. However, they might suffer from aliasing and the global structure is often poorly conveyed. Volume rendering preserves the global structure but is limited due to the sampling resolution. To avoid aliasing artifacts and large memory footprints, we propose a direct volume rendering technique with on-demand density sampling of the particle data, as combination of splatting, texture slicing, and ray casting. We optimized our system with a novel ray cast termination employing early-z-test culling and hardware occlusion queries utilizing inter-frame coherency. Our system contains a fully-featured volume renderer and captures all geometric features of the data set representable at the available display resolution. Since no pre-computation is required, the proposed method can be used easily to visualize time-dependent data sets. The effectiveness of our approach is shown with examples from different application fields.

Place, publisher, year, edition, pages
Linköping University Electronic Press, 2010. p. 35-43
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686, E-ISSN 1650-3740 ; 052
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:liu:diva-143701ISBN: 978-91-7393-281-3 (electronic)OAI: oai:DiVA.org:liu-143701DiVA, id: diva2:1166280
Conference
SIGRAD 2010 – Content Aggregation and Visualization, November 25-26, 2010, Västerås, Sweden
Available from: 2017-12-14 Created: 2017-12-14 Last updated: 2018-01-13

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf