Calibration method of line-structured light based on direction and length constraints

Area of Science:

• Metrology
• Computer Vision
• Industrial Automation

Background:

• Line-structured light vision technology is crucial for industrial measurement.
• Calibration accuracy of light planes directly impacts measurement performance.
• Increasing precision demands in manufacturing require enhanced calibration methods.

Purpose of the Study:

• To propose an accurate line-structured light calibration method.
• To improve the precision of light plane calibration for industrial applications.
• To enable more accurate 3D reconstruction in manufacturing settings.

Main Methods:

• Establishing direction and length constraints between camera optical center, target feature points, and laser control points.
• Utilizing double constraints and camera internal parameters for direct 3D coordinate computation.
• Avoiding reliance on external camera parameters for calibration.

Main Results:

• The proposed method achieves superior light plane fitting accuracy compared to traditional methods.
• Demonstrates enhanced measurement accuracy in experimental evaluations.
• Successfully applied to 3D reconstruction of cutting points on steel plates.

Conclusions:

• The developed method offers a significant improvement in line-structured light calibration.
• It addresses the need for higher accuracy in precision manufacturing.
• The technique shows considerable practical value for industrial 3D reconstruction tasks.