A Kalman tracker for super-resolution PIV

K. Takehara; R. J. Adrian; G. T. Etoh; K. T. Christensen

doi:10.1007/s003480070005

A Kalman tracker for super-resolution PIV

K. Takehara, R. J. Adrian, G. T. Etoh, K. T. Christensen

Research output: Contribution to journal › Article › peer-review

40 Scopus citations

Abstract

We describe a new super-resolution method of particle-image velocimetry (PIV) based on Kalman filtering and χ²-testing.Performance of the "super-resolution KC" method is evaluated by Monte-Carlo simulation and by applying the method to measurements of flow fields recorded in the form of double-pulse/single-frame and single-pulse/double-frame particle images.When the images have good contrast, and depending on the intensity of the velocity gradients present in the flow, the super-resolution KC method is able to extract valid measurements from 80 to 100% of the available image pairs.In these tests, the vector yield is increased by more than five times compared to standard PIV analysis.

Original language	English (US)
Pages (from-to)	S34-S41
Journal	Experiments in Fluids
Volume	29
Issue number	SUPPL. 1
DOIs	https://doi.org/10.1007/s003480070005
State	Published - Dec 2000
Externally published	Yes

ASJC Scopus subject areas

Computational Mechanics
Mechanics of Materials
Physics and Astronomy(all)
Fluid Flow and Transfer Processes

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10.1007/s003480070005

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AU - Takehara, K.

AU - Adrian, R. J.

AU - Etoh, G. T.

AU - Christensen, K. T.

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AB - We describe a new super-resolution method of particle-image velocimetry (PIV) based on Kalman filtering and χ2-testing.Performance of the "super-resolution KC" method is evaluated by Monte-Carlo simulation and by applying the method to measurements of flow fields recorded in the form of double-pulse/single-frame and single-pulse/double-frame particle images.When the images have good contrast, and depending on the intensity of the velocity gradients present in the flow, the super-resolution KC method is able to extract valid measurements from 80 to 100% of the available image pairs.In these tests, the vector yield is increased by more than five times compared to standard PIV analysis.

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A Kalman tracker for super-resolution PIV

Abstract

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