Camera Self-Calibration: A Case Against Kruppa's Equations

Abstract : We consider the self-calibration problem for perspective cameras, and especially the best known practical method, the so-called Kruppa equation approach. It is known that for several common types of camera motion, self-calibration is degenerate, which manifests itself through the existence of ambiguous solutions. In a previous paper, we have studied these critical motion sequences in detail and have revealed their importance for practical applications. In this paper, we reveal a type of camera motion that is not critical for the generic self-calibration problem, but for which the Kruppa equation approach fails. This is the case if all optical centers lie on a sphere and if the optical axes pass through the sphere's center. This situation is very natural for 3D object modeling from photographs or image sequences. Our result is thus a contribution to the understanding of how to successfully apply self-calibration in practice.
Type de document :
Communication dans un congrès
IEEE International Conference on Image Processing (ICIP '98), Oct 1998, Chicago, United States. IEEE Signal Processing Society, 2, pp.172-175, 1998, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=723340〉. 〈10.1109/ICIP.1998.723340〉
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Contributeur : Peter Sturm <>
Soumis le : mardi 12 octobre 2010 - 14:28:16
Dernière modification le : vendredi 1 avril 2011 - 15:50:21

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Peter Sturm. Camera Self-Calibration: A Case Against Kruppa's Equations. IEEE International Conference on Image Processing (ICIP '98), Oct 1998, Chicago, United States. IEEE Signal Processing Society, 2, pp.172-175, 1998, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=723340〉. 〈10.1109/ICIP.1998.723340〉. 〈inria-00525682〉

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