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Related Experiment Video

Updated: Feb 12, 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

Ray calibration and phase mapping for structured-light-field 3D reconstruction.

Zewei Cai, Xiaoli Liu, Xiang Peng

|April 4, 2018

Summary

This study introduces a new active 3D reconstruction method using structured light field (SLF) technology. The novel approach achieves efficient multi-view 3D reconstruction by precisely calibrating light rays and mapping phase data.

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Related Experiment Videos

Last Updated: Feb 12, 2026

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

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Published on: March 6, 2013

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Area of Science:

Computer Vision
Optical Metrology
3D Reconstruction

Background:

Previous structured light field (SLF) methods enabled multi-view depth measurement but not full 3D reconstruction.
Accurate 3D reconstruction requires precise understanding of light propagation and object geometry.

Purpose of the Study:

To develop a novel active method for achieving high-efficiency Structured Light Field (SLF) 3D reconstruction.
To enable multi-view 3D reconstruction using SLF by introducing ray calibration and phase mapping.

Main Methods:

Introduced and performed ray calibration to define each light field ray with metric spatio-angular parameters.
Derived phase mapping within the SLF, enabling direct spatial coordinate mapping from phase data.
Designed a flexible calibration strategy to determine mapping coefficients for each light field ray.

Main Results:

Successfully achieved multi-view 3D reconstruction using the calibrated SLF.
Demonstrated high-efficiency 3D reconstruction through the developed phase mapping technique.
Experimental results validated the method's suitability for efficient SLF-based 3D reconstruction.

Conclusions:

The proposed active method effectively enables high-efficiency multi-view 3D reconstruction in Structured Light Field (SLF) systems.
Ray calibration and phase mapping are key innovations for advancing SLF 3D reconstruction capabilities.