Simple and precise calibration of the line-structured light vision system using a planar target

Area of Science:

• Computer Vision
• Metrology

Background:

• Noise in line-structured light vision systems complicates calibration using planar targets.
• Traditional methods require multiple target placements, increasing complexity.

Purpose of the Study:

• To propose a simplified and more accurate calibration method for line-structured light vision systems.
• To reduce the number of target images needed for stable and accurate calibration.

Main Methods:

• A novel calibration approach utilizing measurement baselines of a planar target.
• Employing three-point subsets based on longest 2D projection baselines to mitigate noise.
• Solving for light stripe point coordinates using baseline lengths and their 2D projections.

Main Results:

• Achieved Root Mean Square (RMS) errors of 0.035 mm for length and 0.054 mm for height measurements.
• Demonstrated feasibility through both simulation and experimental validation.
• Outperformed existing methods in accuracy while requiring only two target images.

Conclusions:

• The proposed method offers a more accurate and stable calibration for line-structured light vision systems.
• Significantly reduces the number of required target images and target swings, simplifying the process.
• Enhances the applicability of line-structured light measurement techniques.