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A multi-sampling approach for smoke behavior in real-time graphics
University of Skövde, School of Humanities and Informatics.
University of Skövde, School of Humanities and Informatics.ORCID iD: 0000-0002-9972-4716
University of Skövde, School of Humanities and Informatics.
2006 (English)In: SIGRAD 2006: The Annual SIGRAD Conference: Special Theme: Computer Games / [ed] Henrik Gustavsson, Linköping: Linköping University Electronic Press, 2006, p. 17-21Conference paper, Published paper (Refereed)
Abstract [en]

Smoke simulation is a key feature of serious gaming applications for fire-fighting professionals. A perfect visual appearance is not of paramount importance, the behavior of the smoke must however closely resemble its natural counterpart for successful adoption of the application. We therefore suggest a hybrid grid/particle based architecture for smoke simulation that uses a cheap multi-sampling technique for controlling smoke behavior. This approach is simple enough for it to be implemented in current generation game engines, and uses techniques that are very suitable for GPU implementation, thus enabling the use of hardware acceleration for the smoke simulation.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2006. p. 17-21
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686, E-ISSN 1650-3740 ; 19
Keyword [en]
Smoke Simulation, Particle System, Multi-sampling
Identifiers
URN: urn:nbn:se:his:diva-1958ISBN: 91-85643-17-3 (print)OAI: oai:DiVA.org:his-1958DiVA, id: diva2:32234
Conference
The Annual SIGRAD Conference, Special Theme: Computer Games, November 22-23, 2006, Skövde, Sweden
Available from: 2008-04-11 Created: 2008-04-11 Last updated: 2018-02-16Bibliographically approved

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Gustavsson, HenrikEngström, Henrik

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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