24 January 2012 Comparative visualization of ensembles using ensemble surface slicing
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Oluwafemi S. Alabi, Xunlei Wu, Jonathan M. Harter, Madhura Phadke, Lifford Pinto, Hannah Petersen, Steffen Bass, Michael Keifer, Sharon Zhong, Chris Healey, Russell M. Taylor, "Comparative visualization of ensembles using ensemble surface slicing", Proc. SPIE 8294, Visualization and Data Analysis 2012, 82940U (24 January 2012); doi: 10.1117/12.908288; https://doi.org/10.1117/12.908288


Outcome based learning of optics in schools
Proceedings of SPIE (September 15 2014)
Time-synchronized visualization of arbitrary data streams
Proceedings of SPIE (February 08 2015)
Exploring ensemble visualization
Proceedings of SPIE (January 24 2012)

Back to Top