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Updated: May 13, 2026

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

Determining 3D flow fields via multi-camera light field imaging.

Tadd T Truscott¹, Jesse Belden, Joseph R Nielson

¹Department of Mechanical Engineering, Brigham Young University, USA.

Journal of Visualized Experiments : Jove

|March 15, 2013

Summary

This summary is machine-generated.

A novel Light Field Imaging technique enables accessible, quantitative 3D flow field imaging, overcoming challenges in optically dense bubbly flows and complex velocity fields.

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Last Updated: May 13, 2026

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Published on: March 12, 2019

Area of Science:

Fluid mechanics
Optical imaging
Experimental methods

Background:

Computational fluid dynamics resolution outpaces experimental methods.
A gap exists between predicted and observed fluid flow phenomena.
Accessible methods for resolving 3D data sets are needed.

Purpose of the Study:

To present a novel technique for quantitative 3D imaging of flow fields.
To enable investigation of complex velocity fields and bubbly flows.
To overcome challenges in imaging optically dense multiphase flows.

Main Methods:

Utilizes Light Field Imaging to capture angular and spatial light ray information.
Employs synthetic aperture (SA) refocusing to generate 3D focal stacks from multiple camera images.
Reconstructs 3D volumetric maps for each time instance, even with partial occlusions.

Main Results:

Demonstrates the capability to reconstruct 3D volumetric flow data.
Developed methods for 3D particle image velocimetry (PIV), bubble extraction, and flame boundary tracking.
Successfully applied the technique to airflow over synthetic vocal folds and a bubble-entraining plunging jet.

Conclusions:

Light Field Imaging offers a powerful, accessible solution for quantitative 3D flow field analysis.
The technique addresses limitations of traditional methods in complex and optically dense flows.
Enables detailed investigation of phenomena previously difficult to measure experimentally.