Abstract
The Particle Tracking Velocimetry (PTV) technique consists in recording, at different instances in time, positions of small tracers particles following a fluid flow and illuminated by a sheet, or pseudo sheet, of light. It aims to recognize each particle trajectory, constituted of n different spots and thus to determine each particle velocity vector. In the present paper, we devise a new method, taking into account a notion of global consistency between the trajectories to be extracted, in terms of visual perception and physical properties. It is based on a graph-theoretic formulation of the particle tracking problem and on the use of original neural networks, called pulsed neural networks.
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© 1996 Springer-Verlag Berlin Heidelberg
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Derou, D., Herault, L. (1996). A new paradigm for Particle Tracking Velocimetry, based on graph-theory and pulsed neural networks. In: Adrian, R.J., Durão, D.F.G., Durst, F., Heitor, M.V., Maeda, M., Whitelaw, J.H. (eds) Developments in Laser Techniques and Applications to Fluid Mechanics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79965-5_29
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DOI: https://doi.org/10.1007/978-3-642-79965-5_29
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