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Large planetary data visualization using ROAM 2.0
Linköping University, Department of Science and Technology.
2005 (English)Independent thesis Basic level (professional degree), 20 points / 30 hpStudent thesis
Abstract [en]

The problem of estimating an adequate level of detail for an object for a specific view is one of the important problems in computer 3d-graphics and is especially important in real-time applications. The well-known continuous level-of-detail technique, Real-time Optimally Adapting Meshes (ROAM), has been employed with success for almost 10 years but has at present, due to rapid development of graphics hardware, been found to be inadequate. Compared to many other level-of-detail techniques it cannot benefit from the higher triangle throughput available on graphics cards of today.

This thesis will describe the implementation of the new version of ROAM (informally known as ROAM 2.0) for the purpose of massive planetary data visualization. It will show how the problems of the old technique can be bridged to be able to adapt to newer graphics card while still benefiting from the advantages of ROAM. The resulting implementation that is presented here is specialized on spherical objects and handles both texture and geometry data of arbitrary large sizes in an efficient way.

Place, publisher, year, edition, pages
Institutionen för teknik och naturvetenskap , 2005. , 45 p.
Keyword [en]
large dataset visualization, continous level-of-detail techniques, ROAM 2.0, real-time applications, terrain rendering, planetary data, adaptive textures
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-5178ISRN: LITH-ITN-MT-EX--05/060--SEOAI: oai:DiVA.org:liu-5178DiVA: diva2:21085
Uppsok
teknik
Supervisors
Examiners
Available from: 2005-12-19 Created: 2005-12-19

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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