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Related Experiment Video

Updated: Mar 25, 2026

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

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Published on: August 12, 2021

Eccentricity error identification and compensation for high-accuracy 3D optical measurement.

Dong He¹, Xiaoli Liu¹, Xiang Peng²

¹Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, Shenzhen University, Shenzhen, Guangdong, 518060, People's Republic of China.

Measurement Science & Technology

|February 23, 2016

Summary

This study presents a new method using concentric circles targets to identify and correct circular target eccentricity errors in 3D optical measurements. This flexible approach enhances measurement accuracy without needing system calibration, even with a single image.

Keywords:

camera calibration concentric circles digital image processing industrial optical metrology spatial ellipse center vision inspection

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Area of Science:

Optics and Photonics
Metrology and Measurement Science
Computer Vision and Image Processing

Background:

Circular targets are crucial for 3D optical measurements like camera calibration and photogrammetry.
Systematic eccentricity error in circular targets, caused by perspective projection, degrades measurement accuracy.
Existing error correction methods often require detailed system geometric parameters.

Purpose of the Study:

To introduce a novel and flexible approach for identifying and correcting circular target eccentricity error.
To develop a method that does not require knowledge of target and camera geometric parameters.
To enable accurate 3D optical measurements even with limited imaging data.

Main Methods:

Utilized a concentric circles target for eccentricity error identification and correction.
Developed a novel algorithm for error compensation.
Validated the approach without needing specific measurement system geometric parameters.

Main Results:

Successfully identified and corrected systematic eccentricity errors in circular targets.
Demonstrated the approach's efficiency and stability through experimental results.
Confirmed the method's applicability even with a single image and target.

Conclusions:

The proposed concentric circles target method offers a flexible and accurate solution for eccentricity error compensation in 3D optical measurements.
This approach simplifies practical applications by eliminating the need for system calibration.
The method significantly improves the reliability of measurements in various optical systems.