Scattering-Aware Holographic PIV with Physics-based Motion Priors

Miao Qi*, Wolfgang Heidrich

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Particle imaging velocimetry is a classical method in 2D fluid imaging. While 3D extensions exist, they are limited by practical restrictions of multi-camera systems. Holographic particle imaging velocimetry has emerged as a solution for a simple and compact 3D imaging system. However, with dense particle seeding, scattering effects become apparent, and the reconstruction quality suffers, especially in the axial direction. To address these challenges, we propose a simple in-line HPIV approach with a plane-To-plane propagation model to account for the scattering effect. Instead of independently reconstructing particle volume and flow velocity, we present a joint optimization problem for particle and flow reconstruction. This optimization problem combines the a differentiable formulation of the holographic image formation with physical motion priors (incompressible flow and particle motion consistency) to improve the reconstruction quality. We solve this joint optimization problem using an extendable automatic differentiation and alternating optimization framework, and we evaluate the proposed method in synthetic and real experiments. The results demonstrate improved reconstruction quality for both particle density and flow velocity fields. With the plane-To-plane propagation model and physics prior, we push HPIV a step further regarding particle density, tank depth, and reconstruction accuracy.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Computational Photography, ICCP 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350316766
DOIs
StatePublished - 2023
Event15th IEEE International Conference on Computational Photography, ICCP 2023 - Madison, United States
Duration: Jul 28 2023Jul 30 2023

Publication series

NameIEEE International Conference on Computational Photography, ICCP 2023

Conference

Conference15th IEEE International Conference on Computational Photography, ICCP 2023
Country/TerritoryUnited States
CityMadison
Period07/28/2307/30/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Computational Photography
  • Fluid Imaging
  • Holography
  • Particle Imaging Velocimetry

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing
  • Instrumentation

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