Abstract
Camera calibration is necessary to obtain 3D information from 2D images of a scene. Different techniques exist which are based on photo-grammetry or self-calibration. As a result of the calibration the intrinsic and extrinsic camera parameters are computed. A lot of work has been done in camera calibration and also in data pre- and post-processing techniques. From a practical point of view, it is quite difficult to decide which calibration method produces the best results and even whether any data processing at all is necessary.
This paper defines the best performance camera calibration algorithm. Based on the state of the art of all camera calibration processes, including pre- and post-processing data, a camera calibration method is chosen on the grounds of robustness and ease of handing. After, the calibration method is improved adding pre- and post-processing statements. Data treatment reduces the noise of the measurements and optimum performance is thus achieved. Its performance is tested with both simulated and real data and best results are always computed. The aim is to define a complete method which will allow all camera calibration situations to be easily resolved.
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References
Ahmed, M., Farag, A.: Non metric calibration of camera lens distortion: Differential methods and robust estimation. IEEE Transactions on image processing 14(8), 1215–1230 (2005)
Hartley, R.: In defence of the eight point algorithm. IEEE Transactions on pattern analysis and machine intelligence 19(6) (1997)
Lavest, J.-M., Viala, M., Dhome, M.: Do we really need an accurate calibration pattern to achieve a reliable camera calibration? In: Burkhardt, H.-J., Neumann, B. (eds.) ECCV 1998. LNCS, vol. 1406, p. 158. Springer, Heidelberg (1998)
Salvi, J., Armangué, X., Batlle, J.: A Comparative review of camera calibrating methods with accuracy evaluation. Pattern recognition 35, 1617–1635 (2002)
Sun, W., Cooperstock, J.: An empirical evaluation of factors influencing camera calibration accuracy using three publicly available techniques. Machine Vision and Applications 17(1), 51–67 (2006)
Tsai, R.: A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-self TV camera lenses. IEEE Journal of Robotics and Automation 3(4), 323–344 (1997)
Zhang, Z.: A flexible new technique for camera calibration. Technical Report MSR-TR-98-71, Microsoft Research (1998)
Zhang, Z.: Camera calibration with one-dimensional objects. Technical Report MSR-TR-2001-120, Microsoft research (2002)
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Ricolfe-Viala, C., Sanchez-Salmeron, AJ. (2007). Improved Camera Calibration Method Based on a Two-Dimensional Template. In: Martí, J., Benedí, J.M., Mendonça, A.M., Serrat, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72849-8_53
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DOI: https://doi.org/10.1007/978-3-540-72849-8_53
Publisher Name: Springer, Berlin, Heidelberg
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