Glyphs for Visualizing Uncertainty in Vector Fields
IEEE Transactions on Visualization and Computer Graphics
A Next Step: Visualizing Errors and Uncertainty
IEEE Computer Graphics and Applications
Animated visual vibrations as an uncertainty visualisation technique
Proceedings of the 2nd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
Point-Based Probabilistic Surfaces to Show Surface Uncertainty
IEEE Transactions on Visualization and Computer Graphics
Top Scientific Visualization Research Problems
IEEE Computer Graphics and Applications
Inverse Problem Theory and Methods for Model Parameter Estimation
Inverse Problem Theory and Methods for Model Parameter Estimation
Curvature-Based Transfer Functions for Direct Volume Rendering: Methods and Applications
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Visualizing Large-Scale Uncertainty in Astrophysical Data
IEEE Transactions on Visualization and Computer Graphics
Uncertainty Visualization in Medical Volume Rendering Using Probabilistic Animation
IEEE Transactions on Visualization and Computer Graphics
Visualization of gridded scalar data with uncertainty in geosciences
Computers & Geosciences
Noodles: A Tool for Visualization of Numerical Weather Model Ensemble Uncertainty
IEEE Transactions on Visualization and Computer Graphics
Positional Uncertainty of Isocontours: Condition Analysis and Probabilistic Measures
IEEE Transactions on Visualization and Computer Graphics
Visualization of Global Correlation Structures in Uncertain 2D Scalar Fields
Computer Graphics Forum
Probabilistic Local Features in Uncertain Vector Fields with Spatial Correlation
Computer Graphics Forum
Nonparametric models for uncertainty visualization
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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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 integrating the probability computation into front-to-back volume ray-casting efficiently. Our method accounts for homogeneous and anisotropic correlations, and it determines for each sampling interval along a ray the probability of crossing an isosurface for the first time. To visualize the positional and geometrical uncertainty even under viewing directions parallel to the surface normal, we propose a new color mapping scheme based on the approximate spatial deviation of possible surface points from the mean surface. The additional use of saturation enables to distinguish between areas of high and low statistical dependence. Experimental results confirm the effectiveness of our approach for the visualization of uncertainty related to position and shape of convex and concave isosurface structures.