A Kalman tracker for super-resolution PIV

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

Research output: Contribution to journalArticlepeer-review

58 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 languageEnglish (US)
Pages (from-to)S34-S41
JournalExperiments in Fluids
Volume29
Issue numberSUPPL. 1
DOIs
StatePublished - Dec 2000
Externally publishedYes

ASJC Scopus subject areas

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

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