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RECONSTRUCTION OF CURVED PARTICLE STREAK TRAJECTORIES

Authors: Rosenstiel, Marcus; Grigat, Rolf-Rainer;

RECONSTRUCTION OF CURVED PARTICLE STREAK TRAJECTORIES

Abstract

We present a method for reconstructing curved particle trajectories from particle streak velocimetry. The reflection properties of a particle are modeled as a point light source. The mapping of the particle on the image is spread by the point spread function of the camera lens. Therefore we can model the mapped particle trajectory as a convolution of the resting particle with its trajectory. Here we model the particle trajectory as a two-dimensional, symmetric Gaussian function convolved with a Bézier curve as an approximation of the trajectory with the pixel aperture of the camera. We assume that the velocity of the particle is constant over the measurement period. We will show that the particle trajectory can be reconstructed up to sub-pixel accuracy. This is verified with synthetic particle trajectories and qualitative comparisons with real world measurements.

Country
Germany
Related Organizations
Keywords

Optimization, Two-dimensional, Airflow, Streak, Reconstruction, Particle streak velocimetry

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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