@proceedings {schilling-etal-2016-ForumBildverarbeitung, title = {A fractal calibration pattern for improved camera calibration}, year = {2016}, abstract = {Camera calibration, crucial for computer vision tasks, often relies on planar calibration targets to calibrate the camera parameters. This work explores a planar, fractal, self-identifying calibration pattern, which provides a high density of calibration points for a large range of magnification factors. An evaluation on ground truth data shows the target provides very high accuracy over a wide range of conditions.}, doi = {10.5445/KSP/1000059899}, url = {https://doi.org/10.5445/KSP/1000059899}, author = {Hendrik Schilling and Maximilian Diebold and Marcel Gutsche and Hamza Aziz-Ahmad and Bernd J{\"a}hne} }