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Automatic Camera Calibration Using Active Displays of a Virtual Pattern.

Lei Tan¹, Yaonan Wang^2,3, Hongshan Yu⁴

¹College of Electrical and Information Engineering, Hunan University, Yuelushan 410082, China. leit@hnu.edu.cn.

Sensors (Basel, Switzerland)

|March 28, 2017

Summary

This summary is machine-generated.

This study introduces a fully automatic camera calibration method using a virtual pattern, eliminating manual operations for more stable and accurate 3D computer vision. The virtual pattern ensures consistent control point observation, improving calibration results.

Keywords:

2D pattern active display camera calibration closed-form solution lens distortion maximum likelihood estimation

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Area of Science:

Computer Vision
3D Reconstruction
Robotics

Background:

Camera calibration is essential for 3D computer vision.
Traditional methods using checkerboards require manual movement, leading to instability and time consumption.
Existing methods lack full automation and consistent control point observation.

Purpose of the Study:

To develop a fully automatic camera calibration method.
To overcome the limitations of manual operations in traditional calibration techniques.
To enhance the stability and accuracy of camera parameter estimation.

Main Methods:

A novel approach using a virtual pattern displayed on a screen.
Active transformation and display of the virtual pattern for uniform camera view.
Estimation of camera parameters via point correspondences between 2D image points and the virtual pattern.

Main Results:

The proposed method achieves full automation, requiring no manual intervention.
Experimental results demonstrate stable calibration outcomes.
Accuracy comparable to the standard Zhang method was achieved on both synthetic and real data.

Conclusions:

The virtual pattern-based method offers a fully automatic and stable solution for camera calibration.
This approach eliminates the need for manual camera or pattern movement.
The method provides a viable and accurate alternative for 3D computer vision applications.