Tracking in 3D: from dense point particles to concentrated polydispersed bubbles

Abstract

This talk delves into the development of open-sourced 3D tracking methods applicable to both point tracer particles and finite-sized polydispersed bubbles. The primary challenge in optical tracking lies in addressing complexities arising from overlapped particle and bubble images, particularly as concentrations increase. The evolution of 3D tracking methods, from classical triangulation-then-tracking methods to the modern Shake-the-Box technique that incorporates intensity and temporal information, underscores the importance of leveraging comprehensive image information to reduce tracking ambiguities. This paper explores the optimal integration of information, including intensity, shape, and reflection features, into the tracking code for both point particles and complex-shaped ones. The integration of such multifaceted information enhances the tracking method's capabilities, extending its applicability to complex multiphase flows characterized by polydispersed, non-spherical, or deformable dispersed phases.