A distributed data implementation of the perspective shear-warp volume rendering algorithm for visualisation of large astronomical cubes

Brett Beeson, David G. Barnes, Paul D. Bourke

Research output: Contribution to journalArticleResearchpeer-review

11 Citations (Scopus)

Abstract

We describe the first distributed data implementation of the perspective shear-warp volume rendering algorithm and explore its applications to large astronomical data cubes and simulation realisations. Our system distributes sub-volumes of 3-dimensional images to leaf nodes of a Beowulf-class cluster, where the rendering takes place. Junction nodes composite the sub-volume renderings together and pass the combined images upwards for further compositing or display. We demonstrate that our system out-performs other software solutions and can render a 'worst-case' 512 × 512 × 512 data volume in less than four seconds using 16 rendering and 15 compositing nodes. Our system also performs very well compared with much more expensive hardware systems. With appropriate commodity hardware, such as Swinburne's Virtual Reality Theatre or a 3Dlabs Wildcat graphics card, stereoscopic display is possible.

Original languageEnglish
Pages (from-to)300-313
Number of pages14
JournalPublications of the Astronomical Society of Australia
Volume20
Issue number3
DOIs
Publication statusPublished - 1 Dec 2003
Externally publishedYes

Keywords

  • Methods: data analysis
  • Surveys
  • Techniques: image processing

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