Name
Abstract | ||
|---|---|---|
We present a method for the detection and visualization of closed stream lines topologically acting as sources or sinks in uncertain 2D and 3D vector fields. For their detection, we apply a Monte Carlo simulation which generates particle distribution functions representing sinks and sources. We show that in the uncertain case there is no structural difference between critical points and closed orbits. This allows the application of critical point extractors to closed stream lines as well. We show applications for some synthetic and real world examples. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/2461217.2461235 | SCC |
Keywords | Field | DocType |
monte carlo simulation,particle distribution function,real world example,closed orbit,critical point extractor,structural difference,closed stream line,uncertain vector field,uncertain case,vector field,critical point,topology,flow visualization,uncertainty | Monte Carlo method,Euclidean vector,Visualization,Computer science,Vector field,Theoretical computer science,Critical point (thermodynamics),Critical point (mathematics),Distribution function,Flow visualization | Conference |
Citations | PageRank | References |
7 | 0.50 | 21 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mathias Otto | 1 | 80 | 4.72 |
| Tobias Germer | 2 | 147 | 8.02 |
| Holger Theisel | 3 | 1479 | 99.18 |