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Error Analysis of Pure Rotation-Based Self-Calibration
Author(s) -
Leslie Wang,
Sing Bing Kang,
Harry Shum,
Guangyou Xu
Publication year - 2001
Publication title -
ieee transactions on pattern analysis and machine intelligence
Language(s) - English
DOI - 10.1109/iccv.2001.10063
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.

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