Modeling and Visualization of Uncertainty-aware Geometry using Multi-variate Normal Distributions
Title | Modeling and Visualization of Uncertainty-aware Geometry using Multi-variate Normal Distributions |
Publication Type | Conference Paper |
Year of Publication | 2018 |
Authors | Gillmann, Christina, Wischgoll Thomas, Hamann Bernd, and James Ahrens |
Conference Name | IEEE Pacific Vis Short Paper Track |
Abstract | Many 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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