3D PARTICLE VOLUME TOMOGRAPHIC RECONSTRUCTION BASED ONMARKED POINT PROCESS: APPLICATION TO TOMO-PIV IN FLUID MECHANICS

In recent years, marked point processes have received a great deal of attention. They were applied with success to extract objects in large data sets as those obtained in remote sensing frameworks or biological studies. We propose in this paper a method based on marked point processes to reconstruct volumes of 3D particles from images of 2D particles provided by the Tomographic Particle Im-age Velocimetry (Tomo-PIV) technique. Unlike other reconstruc-tion methods, our approach allows us to solve the problem in a par-simonious way. It facilitates the introduction of prior knowledge and naturally solves the memory problem which is inherent to pixel based approach used by classical tomographic reconstruction meth-ods. The best reconstruction is found by minimizing an energy func-tion which defines the marked point process. In order to avoid local minima, we use a simulated annealing algorithm. Results are pre-sented on simulated data