Abstract
A robust linear method for auto-calibration of a moving camera from image sequences is presented. Known techniques for auto-calibration have problems with critical motion sequences or biased estimates. The proposed approach uses known linear equations that are weighted by variable factors. Experiments show, that this modification reduces problems with critical motion sequences and that the estimates are not biased. Therefore, the proposed approach is more robust and achieves a higher estimation accuracy.
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Thormählen, T., Broszio, H., Mikulastik, P. (2006). Robust Linear Auto-calibration of a Moving Camera from Image Sequences. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3852. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612704_8
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DOI: https://doi.org/10.1007/11612704_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31244-4
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