Comparative Visualization of Ensembles Using Ensemble Surface Slicing.

Published

Journal Article

By definition, an ensemble is a set of surfaces or volumes derived from a series of simulations or experiments. Sometimes the series is run with different initial conditions for one parameter to determine parameter sensitivity. The understanding and identification of visual similarities and differences among the shapes of members of an ensemble is an acute and growing challenge for researchers across the physical sciences. More specifically, the task of gaining spatial understanding and identifying similarities and differences between multiple complex geometric data sets simultaneously has proved challenging. This paper proposes a comparison and visualization technique to support the visual study of parameter sensitivity. We present a novel single-image view and sampling technique which we call Ensemble Surface Slicing (ESS). ESS produces a single image that is useful for determining differences and similarities between surfaces simultaneously from several data sets. We demonstrate the usefulness of ESS on two real-world data sets from our collaborators.

Full Text

Duke Authors

Cited Authors

  • Alabi, OS; Wu, X; Harter, JM; Phadke, M; Pinto, L; Petersen, H; Bass, S; Keifer, M; Zhong, S; Healey, C; Taylor, RM

Published Date

  • January 2012

Published In

Volume / Issue

  • 8294 /

PubMed ID

  • 23560167

Pubmed Central ID

  • 23560167

Electronic International Standard Serial Number (EISSN)

  • 1996-756X

International Standard Serial Number (ISSN)

  • 0277-786X

Digital Object Identifier (DOI)

  • 10.1117/12.908288

Language

  • eng