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SemSeg - 4D Space-Time Topology for Semantic Flow Segmentation
Ansprechpartner
Otto-von-Guericke-Universität Magdeburg
Prof. Dr. Holger Theisel
Dipl.-Ing. Alexander Kuhn
Universitätsplatz 2
39016 Magdeburg
Tel.: 0391-67-58773
Fax: 0391-67-11164
Projektziele
The thorough analysis of flows plays an important role in many different processes, such as airplane and car design, environmental research, and medicine. ScientificVisualization and its subfield flow visualization have provided avariety of techniques for the domain experts to visually analyze large and complex flow data sets. Among them, so-called topological methods play an important role.
Vector field topology (VFT) is a mathematically rigorous theory that reveals the essential structure of a static vector field. However, this approach is onlyfully valid for static vector fields. Recent developments in the target domains of this project show a clear transition from steady to unsteady flow scenarios. Accordingly, we have to see that the traditionally proven approaches do not apply any more and that a conceptual change inthe methodology of visual analysis is necessary. Topological methods which account for the complete dynamic behaviour of flow fields arestrongly needed but do not exist. Steps toward this goal have been donefrom several sides, delivering prom-ising but yet only partial results. It is the objective of this project to research a new segmentation method for unsteady flows that has the elegance and specificity of(steady) VFT, but which provides correct results for unsteady flows as well.
This project aims at the formulation of a sound theoretical mechanism todescribe struc-tural features in time-dependent flow. Similar to thecase of steady flow, were topology has proven its usefulness in many years, it is straight-forward to expect that the new approach will alsoestab-lish its important role in the analysis and discussion oftime-dependent flow scenarios. As part of a successful project, concrete algorithms to extract and visualize the topological structures are derived from the new mechanism. Implementations of them will allow
Kooperationspartner:
Universitetet i Bergen, Norway
Eidgenössische Technische Hochschule Zürich, Switzerland
VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH, Austria
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