New Algorithms in Particle Tracking Velocimetry

A New Neural Network for Particle-Tracking Velocimetry

We describe a new neural network designed to solve the correspondence problem of Particle-Tracking Velocimetry. Given two successive pictures of marker-particles suspended in a fluid, it matches their images by approximately duplicating the fluid motion. We present the results of efficiency tests that reveal the excellence of its performance and its stability with respect to the presence of unm...

Particle Tracking Velocimetry Beneath Water Waves Part I: Visualization and Tracking Algorithms

A novel particle tracking system working with a high particle concentration for the measurement of flow fields beneath water waves is described. It features a 1-4 cm thick light sheet parallel to the main wave propagation direction so that the seeding particles stay long enough in the illuminated area to enable tracking over several wave periods. An area of up to 14.0 × 10.0 cm2 is observed by ...

Applying Feature Tracking to Particle Image Velocimetry

Particle Image Velocimetry (PIV) is a popular approach to flow visualisation and measurement in hydroand aerodynamic studies and applications [7]. The fluid is seeded with particles that follow the flow and make it visible. Traditionally, correlation techniques have been used to estimate the displacements of the particles in a digital PIV sequence. Recently, we have successfully applied to PIV ...

Digital Holography Based Particle Tracking Velocimetry

Digital holography appears to be the next-generation technology for holographic diagnostics of particle fields and has been applied to holographic particle tracking flow measurements. In the digital holography, the Fresnel or Fourier holograms are recorded directly by the CCD or CMOS cameras and stored digitally. No film material involving wet-chemical or other processing is necessary as in opt...

Particle Image Velocimetry by Feature Tracking