Extrinsic Calibration for a Modular 3D Scanning Quality Validation Platform with a 3D Checkerboard

Area of Science:

• Medical Imaging
• Computer Vision
• Metrology

Background:

• Optical 3D scanning is vital in medicine, but requires frequent recalibration of multi-camera systems.
• Existing extrinsic calibration methods are often impractical for clinical settings due to time constraints and complexity.

Purpose of the Study:

• To introduce a novel 3D checkerboard (3Dcb) application for efficient extrinsic calibration in medical 3D scanning.
• To enable single-capture calibration for improved workflow and accuracy in clinical environments.

Main Methods:

• Developed a 3D checkerboard (3Dcb) system for single-capture extrinsic calibration.
• Implemented registration of captures to a reference for quality validation.
• Enabled registration of camera pairs for point-cloud stitching of static and dynamic scenes.

Main Results:

• Achieved high accuracy in static capture registration (0.02 mm ± 2.9 mm RMSE) using TIDA-00254 and Photoneo MotionCam-3D.
• Demonstrated accurate registration for dynamic captures between camera pairs (2.2 mm ± 1.4 mm RMSE).
• Validated the 3Dcb method's robustness with lower-accuracy cameras.

Conclusions:

• The 3Dcb implementation offers a fast, accurate, and robust solution for extrinsic calibration in medical 3D scanning.
• The method is suitable for clinical use, supporting both static and dynamic scene registration.
• The provided code and overview facilitate further research and application in the field.