Summary
The method of has proved to be one of the most powerful calibration techniques. If used in the context of a general bundle solution it provides for object space coordinates or object features, camera exterior and interior orientation parameters, and models other systematic errors as well. Therefore, because of its flexibility, it may be used in stereo, multi-frame systems, egomotion computations, etc. This chapter gives a brief introduction to the principle of self-calibration, emphasizes some of the problems which are associated with it, and demonstrates with practical data to what extent geometry and network design will influence the determinability of the self-calibration parameters. Finally, a system test will show the high accuracy performance of self-calibrating CCD camera systems.
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© 2001 Springer-Verlag Berlin Heidelberg
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Gruen, A., Beyer, H.A. (2001). System Calibration Through Self-Calibration. In: Gruen, A., Huang, T.S. (eds) Calibration and Orientation of Cameras in Computer Vision. Springer Series in Information Sciences, vol 34. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04567-1_7
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DOI: https://doi.org/10.1007/978-3-662-04567-1_7
Publisher Name: Springer, Berlin, Heidelberg
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