A theory of self-calibration of a moving camera
International Journal of Computer Vision
Self-calibration from multiple views with a rotating camera
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Matrix computations (3rd ed.)
Self-Calibration of Stationary Cameras
International Journal of Computer Vision
International Journal of Computer Vision
Self-Calibration of Rotating and Zooming Cameras
International Journal of Computer Vision
Autocalibration from Planar Scenes
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Critical Motion Sequences for Monocular Self-Calibration and Uncalibrated Euclidean Reconstruction
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Accurate internal camera calibration using rotation, with analysis of sources of error
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Euclidean Reconstruction and Reprojection Up to Subgroups
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
The Agile Stereo Pair for active vision
Machine Vision and Applications
Calibrating pan-tilt cameras with telephoto lenses
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Comparing self-calibration methods for static cameras
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
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Abstract--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.