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Phase-Domain Peak-Based Correspondence Extraction for Robust Structured-Light Imaging.

Andrijana Ćurković¹, Milan Ćurković², Alen Grebo²

¹Faculty of Science, University of Split, 21000 Split, Croatia.

Journal of Imaging

|May 26, 2026

Summary

This study introduces a novel phase-domain correspondence extraction method for structured-light 3D reconstruction. It enhances robustness against challenging surfaces and illumination, improving phase unwrapping accuracy.

Keywords:

fringe projection illumination variations peak detection phase images phase-shifting reflective objects structured light

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Area of Science:

Optical Metrology
3D Reconstruction
Computer Vision

Background:

Standard fringe-based structured-light processing relies on phase unwrapping, which is sensitive to reflective objects and non-uniform illumination.
Distorted fringe signals lead to unreliable phase recovery and limit 3D measurement accuracy.

Purpose of the Study:

To develop a robust correspondence extraction method for structured-light systems.
To overcome limitations of conventional phase unwrapping in challenging imaging conditions.
To improve the reliability of 3D surface reconstruction.

Main Methods:

A novel correspondence extraction method using subpixel peak localization directly on phase-domain images.
Transformation of wrapped phase to absolute value phase profiles (|ϕw|) for enhanced local structure analysis.
Reformulation of correspondence extraction as a local signal-based estimation problem, reducing reliance on global phase consistency.

Main Results:

The proposed method demonstrates usability in regions with low modulation, saturation, or reflective surfaces where conventional methods fail.
It effectively utilizes local peak geometry in the transformed phase representation for robust correspondence.
Gray-code information is used for phase extension and indexing, not spatial unwrapping.

Conclusions:

The new method offers improved robustness and reliability for structured-light 3D reconstruction, especially under adverse conditions.
It provides a practical alternative to conventional phase unwrapping without requiring machine learning.
The method can be readily integrated into existing structured-light systems for enhanced performance.