Abstract
In this paper the theoretical and practical feasibility of self-calibration in the presence of varying intrinsic camera parameters is under investigation. The paper's main contribution is to propose a self-calibration method which efficiently deals with all kinds of constraints on the intrinsic camera parameters. Within this framework a practical method is proposed which can retrieve metric reconstruction from image sequences obtained with uncalibrated zooming/focusing cameras. The feasibility of the approach is illustrated on real and synthetic examples. Besides this a theoretical proof is given which shows that the absence of skew in the image plane is sufficient to allow for self-calibration. A counting argument is developed which—depending on the set of constraints—gives the minimum sequence length for self-calibration and a method to detect critical motion sequences is proposed.
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Pollefeys, M., Koch, R. & Gool, L.V. Self-Calibration and Metric Reconstruction Inspite of Varying and Unknown Intrinsic Camera Parameters. International Journal of Computer Vision 32, 7–25 (1999). https://doi.org/10.1023/A:1008109111715
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DOI: https://doi.org/10.1023/A:1008109111715