A ray-based calibration framework with an icosahedron target lowers intersection error by about 40% on synthetic data and reveals cases where reprojection error misorders calibration quality, though real 3D targets still lag planar boards.
Rotating-star Pattern for Camera Calibration
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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.
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cs.CV 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
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Beyond Reprojection Error: Camera Calibration with 3D Targets
A ray-based calibration framework with an icosahedron target lowers intersection error by about 40% on synthetic data and reveals cases where reprojection error misorders calibration quality, though real 3D targets still lag planar boards.