Rotating-star Pattern for Camera Calibration

TL;DR

This paper introduces a novel camera calibration pattern using rotated checkerboards to improve accuracy and stability, addressing issues found in traditional star-shaped patterns.

Contribution

The paper proposes a new rotated checkerboard pattern and a dedicated feature extraction algorithm, enhancing calibration accuracy and stability over existing star-shaped patterns.

Findings

Improved calibration accuracy compared to star-shaped patterns

High stability across different exposure levels

Effective feature extraction algorithm tailored for the pattern

Abstract

Camera calibration is fundamental to 3D vision, and the choice of calibration pattern greatly affects the accuracy. To address aberration issue, star-shaped pattern has been proposed as alternatives to traditional checkerboard. However, such pattern suffers from aliasing artifacts. In this paper, we present a novel solution by employing a series of checkerboard patterns rotated around a central point instead of a single star-shaped pattern. We further propose a complete feature extraction algorithm tailored for this design. Experimental results demonstrate that our approach offers improved accuracy over the conventional star-shaped pattern and achieves high stability across varying exposure levels.