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Visualization and Analysis of Tensorfields

This project is concerned with the visualization and analysis of three-dimensional tensor fields. Due to the complexity of tensor data, visualization methods have to be chosen carefully; especially for three-dimensional fields. In a pre-processing step, filter methods have to be applied to reduce the field to relevant features. A challenging question in this context is the question: "What are relevant features?".

Visualization and Analysis of Tensorfields
Group
Visual Data Analysis
Partners
Institute of Polymer Materials, Saarland University (Markus Stommel, Marc Schöneich, Bernhard Burgeth)
Institute of Computer Science, Leipzig University (Gerik Scheuermann)
Funding
DFG

Publications

2014
Optimization strategy for the design of ribbed plastic components International Journal of Plastics Technology, pp. 160-175, 2014 Marc Schöneich, Markus Stommel, Andrea Kratz, Valentin Zobel, Gerik Scheuermann, Ingrid Hotz, Bernhard Burgeth BibTeX
Tensor Visualization Driven Mechanical Component Design Proc. IEEE Pacific Visualization Symposium 2014, pp. 145-152, 2014 Andrea Kratz, Marc Schöneich, Valentin Zobel, Bernhard Burgeth, Gerik Scheuermann, Ingrid Hotz, Markus Stommel BibTeX
DOI
2013
Visualization and Analysis of Second-Order Tensors: Moving Beyond the Symmetric Positive-Definite Case Computer Graphics Forum - State of the Art Reports, Vol.1, pp. 49-74, 2013 Andrea Kratz, Cornelia Auer, Markus Stommel, Ingrid Hotz BibTeX
DOI
2011
A Visual Approach to Analysis of Stress Tensor Fields Scientific Visualization: Interactions, Features, Metaphors, Vol.2, pp. 188-211, Hans Hagen (Ed.), Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik: Dagstuhl, Germany, 2011 (preprint available as ) Andrea Kratz, Björn Meyer, Ingrid Hotz BibTeX
DOI