Modeling time and topology for animation and visualization with examples on parametric geometry

  • Authors:
  • K. E. Jordan;Lance E. Miller;E. L. F. Moore;T. J. Peters;Alexander Russell

  • Affiliations:
  • IBM Corporation, One Rogers Street, Cambridge, MA 02142, USA;Department of Computer Science, University of Connecticut, Storrs, CT 06269-2155, USA;Department of Computer Science, University of Connecticut, Storrs, CT 06269-2155, USA;Department of Computer Science, University of Connecticut, Storrs, CT 06269-2155, USA;Department of Computer Science, University of Connecticut, Storrs, CT 06269-2155, USA

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2008

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Abstract

The art of animation relies upon modeling objects that change over time. A sequence of static images is displayed to produce an illusion of motion. Even for simple cases, a careful analysis exposes that formal topological guarantees are often lacking. This absence of rigor can result in subtle, but significant, topological flaws. A new modeling approach is proposed to integrate topological rigor with a continuous model of time. Examples will be given for Bezier curves, while indicating extensions to a richer class of parametric curves and surfaces. Applications to scientific visualization for molecular modeling are discussed. Prototype animations are available for viewing over the web.