Camera Calibration with Distortion Models and Accuracy Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
True Multi-Image Alignment and Its Application to Mosaicing and Lens Distortion Correction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer vision
Multiple view geometry in computer vision
Machine Vision and Applications
Automatic Lens Distortion Calibration Using Single Views
Mustererkennung 2000, 22. DAGM-Symposium
Lens distortion calibration using point correspondences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Accurate internal camera calibration using rotation, with analysis of sources of error
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
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Line-based camera calibration methods estimate the radial lens distortion by using the constraint that straight lines in the 3D world must project to straight lines in the image plane, if the distortion is compensated. Thereby line-based approaches neither need a calibration pattern nor information about other camera parameters and can be applied to single views. Former line-based approaches are impaired by real curved lines in the 3D world that are misinterpreted as straight lines. This affects their robustness and reduces the accuracy of the estimation. This contribution solves the problem by a novel efficient outlier elimination of real curved lines in the 3D world. Results of studies on synthetic and natural camera images indicate a significant improvement of robustness and accuracy of the estimation by the applied outlier elimination method.