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Updated: Mar 19, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

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Three-dimensional array imaging of asynchronous structured light through diffusion model-based fringe pattern

Qinghui Zhang, Fule Zhang, Wanxing Zheng

|March 18, 2026

Summary

This summary is machine-generated.

This study introduces a novel asynchronous 3D imaging array for high-fidelity surface measurement. It overcomes synchronization limitations in structured light systems, enabling scalable and flexible full-surface 3D reconstruction.

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

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Published on: March 6, 2013

Area of Science:

Optics and Photonics
Computer Vision
Metrology

Background:

Structured light (SL) 3D reconstruction captures object geometry via fringe patterns.
Existing SL systems require projector-camera synchronization, limiting scalability for full-surface measurements.

Purpose of the Study:

To develop a scalable and flexible 3D imaging array system for high-fidelity full-surface measurement.
To overcome synchronization limitations in traditional SL systems.

Main Methods:

Engineered a prototype 3D imaging array with multiple asynchronous structured light units.
Developed a diffusion model-based generative learning framework (U-Net encoder-decoder) to address fringe mixing.
Separated mixed fringe patterns within and across overlapping fields of view (FOVs).

Main Results:

Successfully generated high-quality fringe patterns despite challenging mixing conditions.
Achieved remarkable geometric fidelity in 3D object surface reconstruction.
Demonstrated generalization to complex object geometries.

Conclusions:

The proposed asynchronous multi-view SL system offers a scalable and flexible solution for 3D reconstruction.
The diffusion model effectively handles fringe mixing in asynchronous SL systems.
The approach shows strong potential for advanced 3D imaging applications.