3D particle tracking velocimetry using dynamic discrete tomography
Fluid Dynamics
2015-01-23 v3
Abstract
Particle tracking velocimetry in 3D is becoming an increasingly important imaging tool in the study of fluid dynamics, 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.
Keywords
Cite
@article{arxiv.1307.4336,
title = {3D particle tracking velocimetry using dynamic discrete tomography},
author = {Andreas Alpers and Peter Gritzmann and Dmitry Moseev and Mirko Salewski},
journal= {arXiv preprint arXiv:1307.4336},
year = {2015}
}