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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Acknowledgements
The financial support of the Deutsche Forschungsgemeinschaft under grant Tr 194/21 and of the Finnish National Technology Agency, TEKES are gratefully acknowledged.
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Nobach, H., Honkanen, M. Two-dimensional Gaussian regression for sub-pixel displacement estimation in particle image velocimetry or particle position estimation in particle tracking velocimetry. Exp Fluids 38, 511–515 (2005). https://doi.org/10.1007/s00348-005-0942-3
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DOI: https://doi.org/10.1007/s00348-005-0942-3