Abstract
This paper introduces the 3 intrinsic parameters that the affine camera can have at most. The intrinsic parameters of the affine camera are closely related to the usual intrinsic parameters of the pinhole perspective camera, but different in general case. Based on the invariance of the intrinsic parameters, the methods of self-calibration of the affine camera are proposed. It is shown that with at least four views, an affine camera may be self-calibrated up to a scaling factor. It turns out Euclidean (similarity) shape reconstruction only up to a global scaling factor. Another consequence of the introduction of intrinsic and extrinsic parameters of the affine camera is that all existing algorithm using calibrated cameras can be assembled into the same framework and some of them can be easily extented to a batch solution.
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© 1995 Springer-Verlag Berlin Heidelberg
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Quan, L., Mohr, R. (1995). Self-calibration of an affine camera. In: Hlaváč, V., Šára, R. (eds) Computer Analysis of Images and Patterns. CAIP 1995. Lecture Notes in Computer Science, vol 970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60268-2_328
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DOI: https://doi.org/10.1007/3-540-60268-2_328
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