Rainbow Particle Imaging Velocimetry

Handle URI:
http://hdl.handle.net/10754/623286
Title:
Rainbow Particle Imaging Velocimetry
Authors:
Xiong, Jinhui ( 0000-0002-1507-6070 )
Abstract:
Despite significant recent progress, dense, time-resolved imaging of complex, non-stationary 3D flow velocities remains an elusive goal. This work tackles this problem by extending an established 2D method, Particle Imaging Velocimetry, to three dimensions by encoding depth into color. The encoding is achieved by illuminating the flow volume with a continuum of light planes (a “rainbow”), such that each depth corresponds to a specific wavelength of light. A diffractive component in the camera optics ensures that all planes are in focus simultaneously. With this setup, a single color camera is sufficient to track 3D trajectories of particles by combining 2D spatial and 1D color information. For reconstruction, this thesis derives an image formation model for recovering stationary 3D particle positions. 3D velocity estimation is achieved with a variant of 3D optical flow that accounts for both physical constraints as well as the rainbow image formation model. The proposed method is evaluated by both simulations and an experimental prototype setup.
Advisors:
Heidrich, Wolfgang ( 0000-0002-4227-8508 )
Committee Member:
Thoroddsen, Sigurdur T. ( 0000-0001-6997-4311 ) ; Hadwiger, Markus ( 0000-0003-1239-4871 )
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Program:
Computer Science
Issue Date:
27-Apr-2017
Type:
Thesis
Appears in Collections:
Theses

Full metadata record

DC FieldValue Language
dc.contributor.advisorHeidrich, Wolfgangen
dc.contributor.authorXiong, Jinhuien
dc.date.accessioned2017-07-17T12:34:15Z-
dc.date.available2017-04-27T09:41:12Z-
dc.date.available2017-07-17T12:34:15Z-
dc.date.issued2017-04-27-
dc.identifier.urihttp://hdl.handle.net/10754/623286-
dc.description.abstractDespite significant recent progress, dense, time-resolved imaging of complex, non-stationary 3D flow velocities remains an elusive goal. This work tackles this problem by extending an established 2D method, Particle Imaging Velocimetry, to three dimensions by encoding depth into color. The encoding is achieved by illuminating the flow volume with a continuum of light planes (a “rainbow”), such that each depth corresponds to a specific wavelength of light. A diffractive component in the camera optics ensures that all planes are in focus simultaneously. With this setup, a single color camera is sufficient to track 3D trajectories of particles by combining 2D spatial and 1D color information. For reconstruction, this thesis derives an image formation model for recovering stationary 3D particle positions. 3D velocity estimation is achieved with a variant of 3D optical flow that accounts for both physical constraints as well as the rainbow image formation model. The proposed method is evaluated by both simulations and an experimental prototype setup.en
dc.language.isoenen
dc.subjectfluid flow velocityen
dc.subjectrainbow PIVen
dc.subjectoptimizationen
dc.titleRainbow Particle Imaging Velocimetryen
dc.typeThesisen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
thesis.degree.grantorKing Abdullah University of Science and Technologyen_GB
dc.contributor.committeememberThoroddsen, Sigurdur T.en
dc.contributor.committeememberHadwiger, Markusen
thesis.degree.disciplineComputer Scienceen
thesis.degree.nameMaster of Scienceen
dc.person.id142804en

Version History

VersionItem Editor Date Summary
2 10754/623286grenzdm2017-07-17 12:27:04.772Title change requested by Jinhui Xiong to prevent confusion with journal article with the same title.
1 10754/623286.1aida hoteit2017-04-27 09:41:12.0
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.