Abstract
Most camera calibration approaches require the use of calibration patterns like checkerboards. This also applies to Omnidirectional Catadioptric Systems. In this paper, we propose a new calibration method for Non-Central Conical Catadioptric Systems which only requires long and parallel lines which are plentiful in man-made environments. It is based on the extraction of lines from a single omnidirectional image, where we impose parallelism restrictions to obtain the analytical solution of the calibration parameters. However, the calibration of this kind of non-central catadioptric systems is noise sensitive. The proposal has been tested with simulations and then with synthetic and real images to evaluate the accuracy of the proposed method.
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