# Rotating-star Pattern for Camera Calibration

arXiv: https://arxiv.org/abs/2410.13371 · HTML: https://mlsanity.com/paper/2410.13371/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 36 references that are in the map.
- First posted on arXiv 17 Oct 2024.

## Builds on (most cited first, 3 of 3)

- [Why Having 10,000 Parameters in Your Camera Model is Better Than Twelve](https://mlsanity.com/paper/1912.02908/) (2019)
- [Unbiased Estimator for Distorted Conics in Camera Calibration](https://mlsanity.com/paper/2403.04583/) (2024)
- [Realistic Image Degradation with Measured PSF](https://mlsanity.com/paper/1801.02197/) (2018)

## Built on by (most cited first, 1 of 1)

- [Beyond Reprojection Error: Camera Calibration with 3D Targets](https://mlsanity.com/paper/2608.05066/) (2026)

## Abstract (arXiv)

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.