TrackAER: real-time event-based quantitative flow visualization

Abstract We present a novel event-based quantitative flow visualization system, TrackAER, capable of continuously reconstructing, rendering and recording particle tracks in large test volumes without limitations on the measurement duration. Multiple cameras are synchronized calibrated to produce independent asynchronous, yet temporally co-registered data streams tracer positions. Subsequently, these merged into time-resolved three-dimensional using photogrammetric techniques. Due operating principle event cameras, scenery is reduced moving objects only, which effectively compresses stream at camera source. In combination with an efficient processing pipeline, system operates real-time, reconstructing investigated field noticeable time lag. The approach follows “per-event” paradigm enables immediate observation analysis both, transient long duration features. Specific issues resulting from event-based, frame-free discussed as well advantages cameras. Exemplary results provided demonstrate utility TrackAER where Lagrangian track information displayed virtual scene together extracted such local velocities.