Advanced iterative particle reconstruction for Lagrangian particle tracking

Abstract The method of iterative particle reconstruction (IPR), introduced by Wieneke (Meas Sci Technol 24:024008, 2013), constitutes a major step toward Lagrangian tracking in densely seeded flows (Schanz et al. Exp Fluids 57:1–27, 2016). Here we present novel approaches several key aspects the algorithm, which, combination, triple working range IPR terms image densities. updated is proven to be fast, accurate and robust against noise other imaging artifacts. Most proposed changes original processing are easy implement come at low computational cost. Furthermore, bundle adjustment scheme that simultaneously updates 3D locations all particles camera calibrations introduced. While position optimization proved more effective using localized ‘shake’ schemes, this so-called global shake an measure correct for decalibrations vibrations, acting as in-situ single-image volume-self-calibration. Further strategies such conceivable. Graphic abstract