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Related Experiment Video

Updated: Jun 22, 2026

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

Color-encoded fringe projection for 3D shape measurements.

|June 25, 2009

Summary

A new method uses color-encoded stripes with fringe patterns for accurate 3D shape reconstruction. This technique reliably unwraps phase data, even for complex objects with depth discontinuities, in a single measurement.

Area of Science:

Optics and Photonics
Computer Vision
Metrology

Background:

Accurate 3D shape measurement is crucial in various scientific and industrial fields.
Traditional phase unwrapping techniques struggle with complex surfaces and large depth discontinuities.
Existing methods often require multiple measurements or high computational resources.

Purpose of the Study:

To introduce a novel phase unwrapping technique for 3D shape measurement.
To address the limitations of current methods in handling complex object geometries.
To achieve efficient and reliable absolute shape determination.

Main Methods:

A sinusoidal fringe pattern with embedded color-encoded stripes is projected onto the object's surface.
Phase evaluation is performed using the Fourier transform method.

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Phase unwrapping is achieved by referencing the color-encoded stripes, particularly for identifying fringe order in areas with large depth discontinuities.

Main Results:

The proposed method demonstrates reliable phase unwrapping for complex objects, including those with significant depth discontinuities.
The technique achieves a very low computation cost for 3D reconstruction.
A single-shot measurement is sufficient for accurate absolute shape determination.
The method exhibits robust performance for analyzing dynamic objects.

Conclusions:

The color-encoded stripe technique offers a significant advancement in 3D shape measurement.
This approach provides a computationally efficient and robust solution for phase unwrapping.
The method is particularly advantageous for analyzing complex and dynamic scenes.