Illustrative scientific visualization framework

  • Authors:
  • Mario Costa Sousa;Amy Ashurst Gooch;Bruce Gooch

  • Affiliations:
  • Department of Computer Science, University of Calgary, Canada;Department of Computer Science, Northwestern University;Department of Computer Science, Northwestern University

  • Venue:
  • Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
  • Year:
  • 2005

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Abstract

Current scientific visualization techniques create complex images that may be difficult to interpret and do not have the expressiveness of illustrations. Incorporating traditional scientific illustration techniques into a visualization system enables artists and non-artists to harnesses the power of traditional illustration techniques when visually representing scientific data. In this paper we present an illustrative scientific visualization framework incorporating general illustration principles, as well as techniques and aesthetics of various styles. Such a framework provides a basic foundation for categorizing and communicating research and may stimulate future illustrative visualization systems.