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

TitleModeling and Visualization of Uncertainty-aware Geometry using Multi-variate Normal Distributions
Publication TypeConference Paper
Year of Publication2018
AuthorsGillmann, Christina, Wischgoll Thomas, Hamann Bernd, and James Ahrens
Conference NameIEEE Pacific Vis Short Paper Track
AbstractMany applications are dealing with geometric data that are affected by uncertainty. This uncertainty is important to analyze, visualize, and understand. 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.
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