Next Article in Journal
In-Situ Imaging of Molten High-Entropy Alloys Using Cold Neutrons
Next Article in Special Issue
Algorithms for Particle Detection in Complex Plasmas
Previous Article in Journal
Contraction Integral Equation for Three-Dimensional Electromagnetic Inverse Scattering Problems
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
J. Imaging 2019, 5(2), 28; https://doi.org/10.3390/jimaging5020028

Three-Dimensional Reconstruction of Individual Particles in Dense Dust Clouds: Benchmarking Camera Orientations and Reconstruction Algorithms

Institute of Physics, University Greifswald, 17489 Greifswald, Germany
*
Author to whom correspondence should be addressed.
Received: 14 January 2019 / Revised: 31 January 2019 / Accepted: 5 February 2019 / Published: 13 February 2019
(This article belongs to the Special Issue Image Processing in Soft Condensed Matter)
Full-Text   |   PDF [1706 KB, uploaded 13 February 2019]   |  

Abstract

In dusty plasmas, determining the three-dimensional particle positions and trajectories of individual particles is often required. This paper benchmarks two approaches capable of reconstructing the trajectories of particles in three dimensions. The influences of the particle number, the particle number density, and the orientation of the individual cameras are studied. Additionally, the demands on the desired image quality, required for these algorithms, are discussed. The reader is given practical information for the appropriate reconstruction approach and camera positioning that should/could be used in a specific application. View Full-Text
Keywords: stereoscopy; particle tracking; dusty plasmas; complex plasmas; multiview geometry; 3D; computer vision; plasma diagnostic stereoscopy; particle tracking; dusty plasmas; complex plasmas; multiview geometry; 3D; computer vision; plasma diagnostic
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Himpel, M.; Melzer, A. Three-Dimensional Reconstruction of Individual Particles in Dense Dust Clouds: Benchmarking Camera Orientations and Reconstruction Algorithms. J. Imaging 2019, 5, 28.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
J. Imaging EISSN 2313-433X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top