« Projekte
Sie verwenden einen sehr veralteten Browser und können Funktionen dieser Seite nur sehr eingeschränkt nutzen. Bitte aktualisieren Sie Ihren Browser. http://www.browser-update.org/de/update.html
SemSeg - 4D Space-Time Topology for Semantic Flow Segmentation
Alexander Kuhn, Mathias Otto
EU - FP7;
SemSeg - 4D Space-Time Topology for Semantic Flow Segmentation
Within our project we focus on the analysis of complex time-dependent flow phenomena, as e.g. the shown von Karman Vortex Street.
The thorough analysis of flows plays an important role in many different processes, such as airplane and car design, environmental research, and medicine. Scientific Visualization and its subfield flow visualization have provided a variety 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 only fully 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 anymore and that a conceptual change in the methodology of visual analysis is necessary. Topological methods which account for the complete dynamic behaviour of flow fields are strongly needed but do not exist. Steps toward this goal have been done from 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.


Flow Visualization, Vector Field Topology

Kooperationen im Projekt


weitere Projekte

Die Daten werden geladen ...