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.
In: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
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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.