Abstract
We present the SSD–ARC, a non–parametric registration technique, as an accurate way to calibrate a camera and compare it with some parametric techniques. In the parametric case we obtain a set of thirteen parameters to model the projective and the distortion transformations of the camera and in the non–parametric case we obtain the displacement between pixel correspondences. We found more accuracy in the non–parametric camera calibration than in the parametric techniques. Finally, we introduce the parametrization of the pixel correspondences obtained by the SSD–ARC algorithm and we present an experimental comparison with some parametric calibration methods.
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Calderón, F., Romero, L. (2004). Non–parametric Registration as a Way to Obtain an Accurate Camera Calibration. In: Monroy, R., Arroyo-Figueroa, G., Sucar, L.E., Sossa, H. (eds) MICAI 2004: Advances in Artificial Intelligence. MICAI 2004. Lecture Notes in Computer Science(), vol 2972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24694-7_60
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DOI: https://doi.org/10.1007/978-3-540-24694-7_60
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