Modeling and Visualization of Uncertainty-aware Geometries using Multi-variate Normal Distributions

Authors

Christina Gillman
Thomas Wischgoll, Wright State University - Main CampusFollow
Bernd Hamann
James Ahrens

Document Type

Conference Proceeding

Publication Date

4-10-2018

Abstract

Many applications are dealing with geometric data that are affected by uncertainty. It is important to analyze, visualize, and understand the properties of uncertain geometry. We present a methodology to model uncertain geometry based on multi-variate normal distributions. In addition, we propose a visualization technique to represent a hull for uncertain geometry capturing a user-defined percentage of the underlying uncertain geometry. To show the effectiveness of our approach, we have modeled and visualized uncertain datasets from different applications.

Comments

Presented at the PacificViS 2018 in Kobe, Japan, April 10-13, 2018.

Repository Citation

Gillman, C., Wischgoll, T., Hamann, B., & Ahrens, J. (2018). Modeling and Visualization of Uncertainty-aware Geometries using Multi-variate Normal Distributions. .
https://corescholar.libraries.wright.edu/cse/481