Error analysis of pure rotation-based self-calibration

Self-calibration using pure rotation is a well-known technique and has been shown to be a reliable means for recovering intrinsic camera parameters. However, in practice, it is virtually impossible to ensure that the camera motion for this type of self-calibration is a pure rotation. In this paper,...

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Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence 2004-02, Vol.26 (2), p.275-280
Hauptverfasser: Lei Wang, Kang, S.B., Heung-Yeung Shum, Xu, G.
Format: Artikel
Sprache:eng
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Zusammenfassung:Self-calibration using pure rotation is a well-known technique and has been shown to be a reliable means for recovering intrinsic camera parameters. However, in practice, it is virtually impossible to ensure that the camera motion for this type of self-calibration is a pure rotation. In this paper, we present an error analysis of recovered intrinsic camera parameters due to the presence of translation. We derived closed-form error expressions for a single pair of images with nondegenerate motion; for multiple rotations for which there are no closed-form solutions, analysis was done through repeated experiments. Among others, we show that translation-independent solutions do exist under certain practical conditions. Our analysis can be used to help choose the least error-prone approach (if multiple approaches exist) for a given set of conditions.
ISSN:0162-8828
1939-3539
DOI:10.1109/TPAMI.2004.1262199