The performance of high resolution particle velocimetry : algorithm, simulations and experiments

In this report we investigate the performance of particle tracking, exploring the influence of an increasing amount of estimators. Basically, a simple method to determine particle matchings was used. Then, first, temporal extrapolation as well as spatial interpolation are employed. Second, a PlY processing step was incorporated. Tests from simulations show that at relatively high seeding densities the performance was increased with a factor of 4 and 13 for the first and second step, respectively. In a physical experiment of a wake behind a heated cylinder a clear performance improvement in the case of PlY preprocessing was observed

The performance of a new PTV algorithm applied in super-resolution PIV

In this paper, we investigate the performance of particle tracking, exploring the influence of an increasing amount of estimators. Basically, a simple method to determine particle matchings was used. Then, first, temporal extrapolation as well as spatial interpolation are employed. Second, a PIV processing step was incorporated. Tests from simulations show that at relatively high seeding densities the performance was increased by a factor of 4 and 13 for the first and second step, respectively. In a physical experiment of a wake behind a heated cylinder, a clear performance improvement in the case of PIV preprocessing was observed