Name
Abstract | ||
|---|---|---|
Particle tracking velocimetry in 3D is becoming an increasingly important imaging tool in the study of fluid dynamics and combustion as well as plasmas. We introduce a dynamic discrete tomography algorithm for reconstructing particle trajectories from projections. The algorithm is efficient for data from two projection directions and exact in the sense that it finds a solution consistent with the experimental data. Non-uniqueness of solutions can be detected and solutions can be tracked individually. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.cpc.2014.10.022 | Computer Physics Communications |
Keywords | Field | DocType |
PTV,Particle tracking velocimetry,3D PTV,Discrete tomography | Particle tracking velocimetry,Computer vision,Particle image velocimetry,Experimental data,Discrete tomography,Fluid dynamics,Artificial intelligence,Imaging Tool,Velocimetry,Particle,Physics | Journal |
Volume | ISSN | Citations |
187 | 0010-4655 | 3 |
PageRank | References | Authors |
0.49 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andreas Alpers | 1 | 47 | 5.47 |
| Peter Gritzmann | 2 | 412 | 46.93 |
| Dmitry Moseev | 3 | 3 | 0.49 |
| Mirko Salewski | 4 | 3 | 0.83 |