Description

Almost all scientific data is affected by uncertainty (e.g. measurement uncertainty). While graphs in science and engineering mostly show error bars, most standard 2D and 3D visualization methods do not consider uncertainty. This project aims at finding probabilistic equivalents of features from scalar, vector and tensor fields with quantified uncertainty and devise appropriate methods for interactive visualization. Further information is available in the detailed project description.

Members

Kai Pöthkow
Christoph Petz (01/2011 - 12/2012)
Hans-Christian Hege

Responsible

Hans-Christian Hege

Funding

ZIB (04/2009 - 12/2010)
DFG HE 2948/5-3 (01/2011 - 12/2013)

Duration

04/2009-

Publications

• Kai Pöthkow, Christoph Petz, Hans-Christian Hege, Approximate Level-Crossing Probabilities for Interactive Visualization of Uncertain Isocontours, International Journal for Uncertainty Quantification, Vol. 3, No. 2, pp. 101-117, 2013
• Christoph Petz, Kai Pöthkow, Hans-Christian Hege, Probabilistic Local Features in Uncertain Vector Fields with Spatial Correlation, Computer Graphics Forum, Vol. 31, No. 3, pp. 1045-1054, 2012
• Kai Pöthkow, Hans-Christian Hege, Uncertainty Propagation in DT-MRI Anisotropy Isosurface Extraction, New Developments in the Visualization and Processing of Tensor Fields, David Laidlaw, Anna Vilanova (Eds.), pp. 209-225, Springer: Berlin, 2012
• Kai Pöthkow, Hans-Christian Hege, Positional Uncertainty of Isocontours: Condition Analysis and Probabilistic Measures, IEEE Transactions on Visualization and Computer Graphics, Vol. 17, No. 10, pp. 1393-1406, 2011
• Kai Pöthkow, Britta Weber, Hans-Christian Hege, Probabilistic Marching Cubes, Computer Graphics Forum, Vol. 30, No. 3, pp. 931 - 940, 2011