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dc.contributor.authorXiong, Jinhui
dc.contributor.authorIdoughi, Ramzi
dc.contributor.authorAguirre-Pablo, Andres A.
dc.contributor.authorAljedaani, Abdulrahman Barakat
dc.contributor.authorDun, Xiong
dc.contributor.authorFu, Qiang
dc.contributor.authorThoroddsen, Sigurdur T
dc.contributor.authorHeidrich, Wolfgang
dc.date.accessioned2017-05-31T11:53:47Z
dc.date.available2017-05-31T11:53:47Z
dc.date.issued2017-04-11
dc.identifier.urihttp://hdl.handle.net/10754/623948
dc.description.abstractDespite significant recent progress, dense, time-resolved imaging of complex, non-stationary 3D flow velocities remains an elusive goal. In this work we tackle 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. For reconstruction, we derive 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. We evaluate our method with both simulations and an experimental prototype setup.
dc.titleRainbow Particle Imaging Velocimetry for Dense 3D Fluid Velocity Imaging
dc.typePoster
dc.contributor.departmentComputational Imaging Group
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentHigh-Speed Fluids Imaging Laboratory
dc.contributor.departmentMechanical Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentVisual Computing Center (VCC)
dc.conference.dateApril 10-12, 2017
dc.conference.nameKAUST Research Conference 2017: Visual Computing – Modeling and Reconstruction
dc.conference.locationKAUST
kaust.personXiong, Jinhui
kaust.personIdoughi, Ramzi
kaust.personAguirre-Pablo, Andres
kaust.personAljedaani, Abdulrahman Barakat
kaust.personDun, Xiong
kaust.personFu, Qiang
kaust.personThoroddsen, Sigurdur T.
kaust.personHeidrich, Wolfgang
refterms.dateFOA2018-06-13T18:43:04Z


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