Iterative reconstruction of volumetric particle distribution

By Bernhard Wieneke. 2013

307 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computational Mechanics, Computer Graphics and Computer-Aided Design

View Paper: https://www.semanticscholar.org/paper/adc3e2d60351c3f4d17f6bf1160990bf5753312b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. J. Schneiders
2. Andreas Schröder
3. D. Schanz
4. S. Gesemann
5. Fulvio Scarano
6. Bernhard Wieneke
7. B. W. van Oudheusden
8. A. Sciacchitano

In Computational Mechanics

1. J. Schneiders
2. D. Schanz
3. S. Gesemann
4. Andreas Schröder
5. Fulvio Scarano
6. Bernhard Wieneke
7. B. W. van Oudheusden
8. A. Sciacchitano

In Computer Graphics and Computer-Aided Design

1. J. Schneiders
2. Andreas Schröder
3. D. Schanz
4. S. Gesemann
5. Fulvio Scarano

Citations in the corpus

• Dense velocity reconstruction from tomographic PTV with material derivatives (2016, methodology): “Also, using the advanced iterative particle reconstruction (IPR, Wieneke 2013) triangulation method, the very recently introduced Shake-the-Box technique (Schanz et al. 2016) has demonstrated accurate Lagrangian particle tracking at seeding concentrations on the order of those used for tomographic…”
• Shake-The-Box: Lagrangian particle tracking at high particle image densities (2016, methodology): “Wieneke already demonstrated the very high accuracy achievable by the image matching process used in IPR— however in case of single images, this holds only for very low particle image densities (Wieneke 2013).”