Rainbow particle imaging velocimetry for dense 3D fluid velocity imaging
Aguirre-Pablo, Andres A.
Aljedaani, Abdulrahman Barakat
Thoroddsen, Sigurdur T
KAUST DepartmentComputational Imaging Group
Computer Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
High-Speed Fluids Imaging Laboratory
King Abdullah University Of Science And Technology, Kingdom of Saudi Arabia
Mechanical Engineering Program
Physical Science and Engineering (PSE) Division
Visual Computing Center (VCC)
Online Publication Date2017-07-21
Print Publication Date2017-07-20
Permanent link to this recordhttp://hdl.handle.net/10754/626830
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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
CitationXiong J, Idoughi R, Aguirre-Pablo AA, Aljedaani AB, Dun X, et al. (2017) Rainbow particle imaging velocimetry for dense 3D fluid velocity imaging. ACM Transactions on Graphics 36: 1–14. Available: http://dx.doi.org/10.1145/3072959.3073662.
SponsorsThis work was supported by a KAUST CRG3 research grant as well as KAUST baseline funding.
JournalACM Transactions on Graphics