Optical Flow PIV
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Author
Date
2013Type
- Master Thesis
ETH Bibliography
yes
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Abstract
A technique to analyze Particle Image Velocimetry (PIV) images with strong refractive distortion is presented. Based on a muti-level optical flow algorithm, the approach has been benchmarked with synthetically generated PIV images, and has been successfully applied to both experimental PIV and Laser Induced Fluorescence (LIF) images. To improve velocity field estimation, new symmetric spline and advection warping methods are proposed together with a data-driven method to impose boundary conditions. To address a historical weakness of optical flow PIV methods, a framework is presented to select the smoothness parameter for experimental images. An analysis of an experimental image series with severe blurring and intensity distortions demonstrates the viability of the technique. Show more
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https://doi.org/10.3929/ethz-a-009767070Publication status
publishedPublisher
ETH, Department of Mechanical and Process EngineeringSubject
SPLINE INTERPOLATION (MATHEMATICAL ANALYSIS); Distributed smoothing; Particle image velocimetry; Smoothing parameter; Symmetric advection; Warping; LASERANGEREGTE FLUORESZENZSPEKTROSKOPIE; Volume of fluid; Horn and schunck; GESCHWINDIGKEITSMESSUNG (FLUIDDYNAMIK); MEASUREMENT OF VELOCITY AND QUANTITY RATE OF FLUID FLOW; Data-driven boundary condition; Optical flow; LASER EXCITED FLUORESCENCE SPECTROSCOPY; SPLINEINTERPOLATION (ANALYSIS)Organisational unit
02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.01154 - MSc Maschineningenieurwissenschaften / MSc Mechanical Engineering
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ETH Bibliography
yes
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