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.
CITATION STYLE
Calderón, F., & Romero, L. (2004). Non-parametric registration as a way to obtain an accurate camera calibration. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 2972, pp. 584–591). Springer Verlag. https://doi.org/10.1007/978-3-540-24694-7_60
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