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

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

Published on: December 3, 2013

Projected fringe profilometry using a liquid-crystal spatial light modulator to extend the depth measuring range.

Wei-Hung Su¹, Chun-Hsiang Hsu, Wei-Chia Su

¹Department of Material Science and Optoelectronic Engineering, National Sun Yat-Sen University, Kaohsiung 804, Taiwan. wxs156@mail.nsysu.edu.tw

|March 4, 2011

Summary

A novel liquid-crystal spatial light modulator (LC-SLM) approach enhances depth measurement range and accuracy for 3D shape sensing. This method is ideal for dynamic, micro-scale objects, offering superior performance over traditional 2D systems.

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Area of Science:

Optics and Photonics
Metrology
3D Imaging

Background:

Projected fringe profilometry is a key technique for 3D shape measurement.
Traditional systems face limitations in depth measuring range and distortion compensation.
Micro-scale dynamic object detection requires high-accuracy, robust 3D sensing.

Purpose of the Study:

To present an enhanced projected fringe profilometry approach using a liquid-crystal spatial light modulator (LC-SLM).
To enlarge the depth measuring range and improve accuracy for 3D shape sensing.
To enable precise detection of dynamic objects at the micro-scale.

Main Methods:

Implementation of a liquid-crystal spatial light modulator (LC-SLM) within a projected fringe profilometry system.
Utilizing the LC-SLM's capabilities for distortion compensation (perspective and geometric).
Employing a single-phase measurement for operational efficiency.

Main Results:

Significantly enlarged depth measuring range compared to conventional 2D systems.
High-accuracy 3D shape sensing with micron-range precision.
Effective compensation for perspective and geometric distortions.
Streamlined operation requiring only one phase measurement.

Conclusions:

The LC-SLM approach offers superior performance for 3D shape sensing, particularly for dynamic micro-scale objects.
This method overcomes limitations of traditional systems by expanding depth range and enhancing accuracy.
The technique provides a robust and efficient solution for advanced metrology applications.