New tracking algorithm for stereoscopic imaging velocimetry

Yi Ge; Soyoung Stephen Cha

doi:10.1117/12.365731

13 October 1999 New tracking algorithm for stereoscopic imaging velocimetry

Yi Ge, Soyoung Stephen Cha

Proceedings Volume 3783, Optical Diagnostics for Fluids/Heat/Combustion and Photomechanics for Solids; (1999) https://doi.org/10.1117/12.365731
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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.

Citation Download Citation

Yi Ge and Soyoung Stephen Cha "New tracking algorithm for stereoscopic imaging velocimetry", Proc. SPIE 3783, Optical Diagnostics for Fluids/Heat/Combustion and Photomechanics for Solids, (13 October 1999); https://doi.org/10.1117/12.365731

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available