Improved camera calibration method based on perpendicularity compensation for binocular stereo vision measurement...

Area of Science:

• Computer Vision
• Metrology
• Optical Engineering

Background:

• Accurate dimensional measurements are crucial in various fields.
• High-precision calibration of binocular vision systems is essential for reliable metrology.
• Existing camera calibration methods can be affected by non-perpendicular camera motion and parameter coupling.

Purpose of the Study:

• To propose an improved camera calibration method for binocular vision systems.
• To enhance the accuracy of intrinsic parameter calibration.
• To develop a robust global optimization technique for calibration.

Main Methods:

• An intrinsic parameter calibration method using active vision with perpendicularity compensation was developed.
• Independent calculation of principal point, scale factors, and distortion factors to eliminate parameter coupling.
• A global optimization method utilizing only 5 images was presented.

Main Results:

• The improved method effectively eliminates the impact of non-perpendicular camera motion on calibration accuracy.
• Independent parameter calculation successfully resolved strong coupling issues.
• Experimental results demonstrated a calibration accuracy of 99.91%.

Conclusions:

• The proposed method significantly improves the precision of binocular vision system calibration.
• This advancement contributes to more accurate dimensional measurements.
• The technique offers a robust and efficient solution for camera calibration.