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Updated: Jul 12, 2025

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

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A Stable, Efficient, and High-Precision Non-Coplanar Calibration Method: Applied for Multi-Camera-Based Stereo Vision

Hao Zheng¹, Fajie Duan¹, Tianyu Li¹

¹State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China.

Sensors (Basel, Switzerland)

|October 28, 2023

Summary

This study introduces improved non-coplanar calibration methods for stereo vision systems, enhancing accuracy and ease of use. The novel approach precisely extracts feature points, outperforming traditional techniques for complex 3D measurements.

Keywords:

camera calibration circular centers feature extraction monocular and binocular sensing systems non-coplanar calibration method stereo-DIC measurements

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Area of Science:

Computer Vision
Metrology
Optical Engineering

Background:

Traditional non-coplanar calibration methods struggle with accuracy and usability in multi-camera stereo vision.
Existing techniques like Tsai's method present limitations for precise 3D measurements.

Purpose of the Study:

To develop novel non-coplanar calibration methods for monocular and binocular camera systems.
To enhance the accuracy and stability of stereo vision calibration through improved feature point extraction.
To enable simultaneous calibration of intrinsic and extrinsic parameters in multi-camera systems.

Main Methods:

Established a novel mathematical model based on projective and matrix transformation theory.
Developed a new non-coplanar calibration method for monocular and binocular systems.
Proposed a circular feature point extraction method using region Otsu algorithm and radial section scanning.

Main Results:

The novel calibration methods demonstrate superior accuracy and ease of operation compared to Tsai's and Zhang's methods.
The feature point extraction algorithm offers high precision and stability, improving overall calibration accuracy.
Simultaneous calibration of intrinsic and extrinsic parameters for multi-camera systems is achieved.

Conclusions:

The proposed non-coplanar calibration and feature extraction methods provide high accuracy and stability for stereo vision measurements.
These advancements are suitable for complex shape and deformation measurements, including stereo-digital image correlation (stereo-DIC).