Comprehensive Improvement of Binocular Structured Light Calibration Method Based on Radical-Conservative Cooperative...

Area of Science:

• Computer Vision
• Metrology

Background:

• Accurate 3D reconstruction relies heavily on precise calibration of binocular structured light systems.
• Calibration accuracy is influenced by calibration object imaging quality and camera parameter optimization.

Purpose of the Study:

• To improve the accuracy of binocular structured light calibration for high-precision 3D reconstruction.
• To address challenges in calibration object imaging and camera parameter optimization.

Main Methods:

• Implemented a pixel-level adaptive fill light method for uniform illumination of the calibration object.
• Utilized collaborative Particle Swarm Optimization (PSO) for nonlinear optimization of camera parameters.

Main Results:

• Achieved a 3D reconstruction accuracy of 0.053 mm.
• Demonstrated a 36.33% improvement in reconstruction accuracy compared to mainstream calibration methods.
• The adaptive fill light method enhanced image quality under tilted conditions.

Conclusions:

• The comprehensive improvements significantly enhance binocular structured light calibration accuracy.
• Collaborative PSO offers superior global search capability for camera parameter optimization.
• The developed method provides a robust solution for high-precision 3D reconstruction applications.