Visualizing evolving scalar phenomena

Deborah Silver, Xin Wang

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Visualizing 3D continuum or time-varying simulation (scalar) datasets is difficult because of the immense amount of data to be processed and understood. Furthermore, these datasets may contain many evolving amorphous regions, making it difficult to visually follow features of interest. In this paper, we present a process for analyzing continuum datasets and review some of our previous work on feature tracking. We show how the tracking information can be used to enhance standard rendering and enable new visualizations. The tracking is demonstrated on different application domains including turbulence, weather and inlet design.

Original languageEnglish (US)
Pages (from-to)99-108
Number of pages10
JournalFuture Generation Computer Systems
Volume15
Issue number1
DOIs
StatePublished - 1999

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Keywords

  • CFD
  • Computer vision
  • Feature tracking
  • Isosurfaces
  • Multi-dimensional visualization
  • Scientific visualization
  • Volume rendering

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