Tracer-based 3D surface reconstruction

The continuous advancements of particle imaging techniques for flow field measurements have led to systems and processing approaches matching the demands 3D velocimetry at large scale (Schanz et al., 2016; Discetti Coletti, 2018). Often, past an object immersed in fluid is key interest, some cases experimentalist exploits data analysis near-surface properties such as pressure. It follows that knowledge shape position essential. For 2D studies, issue identifying fluid-solid interface often reduces detection intensity gradient resulting from light sheet striking object. latter task well explored, with a variety methods providing measurement plane (Canny, 1986; Malik 2001; Gui 2003, among others). These approaches, however, are not applicable volumetric studies where illumination diffuse. A frequently applied alternative fluid-structure-interaction dual-measurement approach, second system tracks (e.g., Acher 2019; Zhang 2019) complexity operating two may be affordable motivating development rely solely on system. Particle based been addressed various perspectives, containing fluid-fluid interfaces. Examples utilizing tomographic PIV include Adhikari Longmire (2012), Im al. (2014), Ebi Clemens (2016). examples identify by discriminating seeded phase (the fluid) void solid). present work inspired this principle, but it assumes discrete distribution obtained generic tracking algorithm IPR Wieneke or “Shake-The-Box” Schanz (2016), foundation. Summarizing, aims detect surface solid flow, spatial tracers recorded PTV measurement.