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Proceedings Paper

New tracking algorithm for stereoscopic imaging velocimetry
Author(s): Yi Ge; Soyoung Stephen Cha
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Paper Abstract

Particle tracking is an essential step in data process of stereoscopic imaging velocimetry. It is known that in particle tracking velocimetry, part of the individual particle images or equivalently data points are likely to be lost when a flow field is seeded with a high-density particles. In order to maximize the data point-recovery and to enhance the measurement reliability, the neural networks are employed to attain a globally-optical solution in finding appropriate particle tracks. Our investigation indicates that the neural networks offer very good potential for performance enhancement and has proven to be very useful for stereoscopic imaging velocimetry.

Paper Details

Date Published: 13 October 1999
PDF: 9 pages
Proc. SPIE 3783, Optical Diagnostics for Fluids/Heat/Combustion and Photomechanics for Solids, (13 October 1999); doi: 10.1117/12.365731
Show Author Affiliations
Yi Ge, Univ. of Illinois/Chicago (United States)
Soyoung Stephen Cha, Univ. of Illinois/Chicago (United States)

Published in SPIE Proceedings Vol. 3783:
Optical Diagnostics for Fluids/Heat/Combustion and Photomechanics for Solids
Soyoung Stephen Cha; Peter John Bryanston-Cross; Carolyn R. Mercer, Editor(s)

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