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Robust line-based calibration of lens distortion from a single view

Line-based camera calibration methods estimate the radial lens distortion from a single view. They use only the constraint, that straight lines in the 3D world must project to straight lines in the image plane, if the distortion is compensated. Therefore neither calibration pattern nor information about other camera parameters are necessary. Former approaches are impaired by real curved lines in the 3D world, that are interpreted as straight lines. This affects their robustness and reduces the accuracy of the estimation. The problem is solved in this paper by a novel efficient outlier elimination of real curved lines in the 3D world. The given results show the significant improvement of robustness and accuracy of the calibration by the applied outlier elimination.