Abstract
Scheimpflug principle requires that the image sensor, lens, and object planes intersect at a single line known as “Scheimpflug line.” This principle has been employed in several applications to increase the depth of field needed for accurate dimensional measures. In order to provide a metric 3D reconstruction, we need to perform an accurate camera calibration. However, pin-hole model assumptions used by classical camera calibration techniques are not valid anymore for Scheimpflug setup. In this paper, we present a new intrinsic calibration technique using bundle adjustment technique. We elaborate Scheimpflug formation model, and show how we can deal with introduced Scheimpflug distortions, without the need to estimate their angles. The proposed method is based on the use of optical lens distortion models. An experimental comparison of the proposed approach with Scheimpflug model has been made on real industrial data sets under the presence of large distortions. We have shown a slight improvement brought by the proposed method.
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Acknowledgements
This work has been financed by unique inter-ministry fund (FUI) of the Nord-Pas-de-Calais region in France.
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Fasogbon, P., Duvieubourg, L., Macaire, L. (2017). Scheimpflug Camera Calibration Using Lens Distortion Model. In: Raman, B., Kumar, S., Roy, P., Sen, D. (eds) Proceedings of International Conference on Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 459. Springer, Singapore. https://doi.org/10.1007/978-981-10-2104-6_15
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DOI: https://doi.org/10.1007/978-981-10-2104-6_15
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