Abstract
We propose a systematic way for (auto)calibrating a fish-eye lens camera. By taking images of a planar scene with a fish-eye camera, our method automatically estimates the centre-of-distortion (COD), distortion parameters, and other conventional camera intrinsics. We fulfil this by a three-stage algorithm. Each stage accounts for one of the above three calibration tasks. Our main contributions reside in the second stages, in which we design a nine-point minimal solver for the purpose of distortion correction. Our method is applicable to both known planar scene and unknown planar scene. The later case corresponds to an auto-calibration version of the fish-eye camera calibration algorithm.
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Li, H., Hartley, R. (2006). Plane-Based Calibration and Auto-calibration of a Fish-Eye Camera. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3851. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612032_3
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DOI: https://doi.org/10.1007/11612032_3
Publisher Name: Springer, Berlin, Heidelberg
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