Approach to select optimal cross-correlation parameters for light field particle image velocimetry

A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry

In particle image velocimetry (PIV) a temporally separated image pair of a gas or liquid seeded with small particles is recorded and analysed in order to measure fluid flows therein. We investigate a variational approach to cross-correlation, a robust and well-established method to determine displacement vectors from the image data. A “soft” Gaussian window function replaces the usual rectangul...

Correlation image velocimetry: a spectral approach.

A method, believed to be new, is introduced to evaluate displacement fields from the analysis of a deformed image compared with a reference image. In contrast to standard methods, which determine a piecewise constant displacement field, the present method gives direct access to spectral decomposition of the displacement field. A minimization procedure is derived and used twice: first, to determ...

a benchmarking approach to optimal asset allocation for insurers and pension funds

uncertainty in the financial market will be driven by underlying brownian motions, while the assets are assumed to be general stochastic processes adapted to the filtration of the brownian motions. the goal of this study is to calculate the accumulated wealth in order to optimize the expected terminal value using a suitable utility function. this thesis introduced the lim-wong’s benchmark fun...

Hybrid particle image velocimetry with the combination of cross-correlation and optical flow method

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 ...