#### Filter Results:

- Full text PDF available (6)

#### Publication Year

2011

2013

- This year (0)
- Last 5 years (6)
- Last 10 years (7)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Key Phrases

Learn More

- Tobias Pfaffelmoser, Matthias Reitinger, Rüdiger Westermann
- Comput. Graph. Forum
- 2011

We present a novel approach for visualizing the positional and geometrical variability of isosurfaces in uncertain 3D scalar fields. Our approach extends recent work by Pöthkow and Hege [PH10] in that it accounts for correlations in the data to determine more reliable isosurface crossing probabilities. We introduce an incremental updatescheme that allows… (More)

- Tobias Pfaffelmoser, Mihaela Mihai, Rüdiger Westermann
- IEEE Transactions on Visualization and Computer…
- 2013

In uncertain scalar fields where data values vary with a certain probability, the strength of this variability indicates the confidence in the data. It does not, however, allow inferring on the effect of uncertainty on differential quantities such as the gradient, which depend on the variability of the rate of change of the data. Analyzing the variability… (More)

In uncertain scalar fields, where the values at every point can be assumed as realizations of a random variable, standard deviations indicate the strength of possible variations of these values from their mean values, independently of the values at any other point in the domain. To infer the possible variations at different points relative to each other,… (More)

- Tobias Pfaffelmoser, Rüdiger Westermann
- Comput. Graph. Forum
- 2012

Visualizing correlations, i.e., the tendency of uncertain data values at different spatial positions to change contrarily or according to each other, allows inferring on the possible variations of structures in the data. Visualizing global correlation structures, however, is extremely challenging, since it is not clear how the visualization of complicated… (More)

Overlaid plots of iso-contours in individual members of a scalar ensemble field are a popular concept to visualize the data uncertainty. However, such plots do not allow inferring on the spatial cumulative probability distribution of the iso-contours, and they cannot reveal distribution characteristics like spread and topology for very large amounts of… (More)

This report introduces a mathematical framework to compute probability density functions for the directions of gradients in Gaussian distributed uncertain 3D scalar fields, and illustrates results by means of several examples.

- ‹
- 1
- ›