用旋转棋盘图案提升相机标定精度与稳定性
Rotating-star Pattern for Camera Calibration
- 设计一系列绕中心旋转的棋盘图案替代单个星形图案
- 在不同曝光下实现更高标定精度和更强稳定性
- 适合需要高精度相机标定的视觉系统开发者
相机标定是3D视觉的基础，标定图案的选择直接影响精度。为解决传统星形图案存在的伪影问题，已有研究提出以星形图案替代传统棋盘格。然而，此类图案仍存在混叠伪影。本文提出一种新方法：采用围绕中心点旋转的一系列棋盘图案，而非单一星形图案，并设计了适配该结构的完整特征提取算法。实验表明，该方法在标定精度上优于传统星形图案，在不同曝光条件下均表现出更高稳定性。
原文摘要 · Abstract (English)
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.
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