A Comparison of Velocimetry Algorithms: Orthogonal Dynamic Programming Based Particle Image Velocimetry Versus Local Correlation Tracking

Particle Image Velocimetry by Feature Tracking

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 Particle Image Velocimetry: a challenge for feature based tracking

Advanced Algorithms for Microscale Particle Image Velocimetry

The recent explosive increase in the use of  uidic microelectromechanical systems (MEMS) has subsequently driven the development of  uidic measurement techniques capable of measuring velocities at length scales small enough to be of use in characterizing and optimizing these new devices. Recently, several techniques have demonstrated spatial resolutions smaller than 1001mbut larger than 101m....

9th International Symposium on Flow Visualisation, 2000 Synchronous Orthogonal Dynamic Programming for Particle Image Velocimetry

This paper presents an improvement of the Orthogonal Dynamic Programming optical flow technique that permits a better use of all the available information during the iterative search of the vector field in the case of stereo PIV. The two-component apparent vector fields are computed simultaneously (synchronously) for all available viewpoints. Coherency constraints issued from the geometry of th...