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Experiments in Fluids
Published in: Experiments in Fluids 4/2005

01-04-2005 | Originals

Two-dimensional Gaussian regression for sub-pixel displacement estimation in particle image velocimetry or particle position estimation in particle tracking velocimetry

Authors: H. Nobach, M. Honkanen

Published in: Experiments in Fluids | Issue 4/2005

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Abstract

An explicit solution of two-dimensional Gaussian regression for the estimation of particle displacement from the correlation function in particle image velocimetry (PIV) or particle position from the images in particle tracking velocimetry (PTV) with sub-pixel accuracy is introduced. The accuracy and the ability of the methods to avoid pixel locking due to non-axially orientated, elliptically shaped particle images or correlation peaks are investigated using simulated and experimentally obtained images.
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Literature
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Metadata
Title
Two-dimensional Gaussian regression for sub-pixel displacement estimation in particle image velocimetry or particle position estimation in particle tracking velocimetry
Authors
H. Nobach
M. Honkanen
Publication date
01-04-2005
Publisher
Springer-Verlag
Published in
Experiments in Fluids / Issue 4/2005
Print ISSN: 0723-4864
Electronic ISSN: 1432-1114
DOI
https://doi.org/10.1007/s00348-005-0942-3

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