Dense Particle Identification and Reconstruction (DPIR) technique applied to simulated volumetric PTV images

DPIR is a three-dimensional particle tracking velocimetry technique that utilizes a three-pronged approach to identifying and reconstructing the positions and velocities of densely-packed particles within a volumetric domain for the purpose of understanding and analyzing fluid motion. The key aspects of the algorithm include a determination of the number of particles per support set prior to the final particle fitting; peaks, projections, and paths are used to determine the number of particles. These techniques are discussed in detail. DPIR is then applied to a set of simulated images with a known solution and compared to similar techniques. Results of the study include the yield of identified particles, the accuracy of particle positions, and the particle densities at which the results were realized. Further, the results will be discussed in the context of application to real images and future work.