Automatic Calibration of a Two-Axis Rotary Table for 3D Scanning Purposes.

Area of Science:

• Metrology
• Computer Vision
• Robotics

Background:

• Rotary tables accelerate 3D scanning of complex geometries.
• Manual point cloud registration is time-consuming.
• Existing calibration methods often focus on single-axis calibration.

Purpose of the Study:

• To propose a novel method for simultaneous, dual-axis calibration of rotary tables.
• To enhance the automation of 3D scanning workflows.
• To improve the accuracy and efficiency of 3D data acquisition.

Main Methods:

• A checkerboard target was used for calibration.
• Multiple images of the checkerboard in different poses were acquired.
• An optimization algorithm determined the dual-axis orientation and location.
• Average mean reprojection error was used as a calibration quality metric.

Main Results:

• The proposed method enables simultaneous calibration of both rotary axes.
• A wider dispersion of calibration poses leads to optimal calibration quality.
• The average mean reprojection error effectively assesses calibration accuracy.

Conclusions:

• The developed method offers an efficient solution for dual-axis rotary table calibration.
• Optimizing the distribution of calibration poses is crucial for high-accuracy 3D scanning.
• This technique can significantly reduce manual effort and improve 3D scanning workflows.