Journal: International Symposium on Particle Image Velocimetry

Abbreviation

Publisher

Illinois Institute of Technology

Journal Volumes

ISSN

Description

Filters

20212
Reset filters

Search Results

Publications1 - 2 of 2
  • Ghost particle reduction in particle streak velocimetry
    Item type: Conference Paper
    Tsalicoglou, Christina; Rösgen, Thomas (2021)
    International Symposium on Particle Image Velocimetry ~ 14th International Symposium on Particle Image Velocimetry
    Ghost particles are ambiguities in the process of the 3D-reconstruction of seeding particles detected in short-exposure imaging for volumetric flow velocimetry. 3D Particle Streak Velocimetry (3D-PSV) relies on long-exposure images, where the pathlines of the seeding particles are imaged as streaks. In this work, we demonstrate the inherent suitability of 3D-PSV for ghost particle rejection by calculating the probability of ghost streak generation in different scenarios and comparing our results to simulations.
  • TrackAER: Real-Time Event-Based Particle Tracking
    Item type: Other Conference Item
    Rusch, Alexander; Rösgen, Thomas (2021)
    International Symposium on Particle Image Velocimetry ~ 14th International Symposium on Particle Image Velocimetry
    Event-based cameras (Lichtsteiner et al., 2008; Posch et al., 2010; Gallego et al., 2020) operate fundamentally different from frame-based cameras: Each pixel of the sensor array reacts asynchronously to relative brightness changes creating a sequential stream of events in address-event representation (AER). Each event is defined by a microsecond-accurate time stamp, the pixel position and a binary polarity indicating a relative increase or decrease of light intensity. Thus, event-based cameras only sense changes in a scenery while effectively suppressing static, redundant information. This renders the camera technology promising also for flow diagnostics. In established approaches like PIV or PTV vast amounts of data are generated, only for a large part of redundant information to be eliminated in data post-processing. In contrast, eventbased cameras effectively compress the data stream already at the source. To make full use of this potential, new data processing algorithms are needed since event-based cameras do not generate conventional framebased data. This work utilizes an event-based camera to identify and track flow tracers such as helium-filled soap bubbles (HFSBs) with real-time visual feedback in measurement volumes of the order of several cubic meters.
Publications1 - 2 of 2