Self-Calibration of Stationary Cameras
International Journal of Computer Vision
Characterization of errors in compositing panoramic images
Computer Vision and Image Understanding
International Journal of Computer Vision
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Self-Calibration of Rotating and Zooming Cameras
International Journal of Computer Vision
Hierarchical Model-Based Motion Estimation
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Accurate internal camera calibration using rotation, with analysis of sources of error
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Violating Rotating Camera Geometry: The Effect of Radial Distortion on Self-Calibration
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Reactive Control of Zoom while Fixating Using Perspective and Affine Cameras
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Agile Stereo Pair for active vision
Machine Vision and Applications
Practical Pan-Tilt-Zoom-Focus Camera Calibration for Augmented Reality
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Comparing self-calibration methods for static cameras
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Mathematical models for the calibration of cameras mounted on a tripod using primitive tracking
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
Real-time visuomotor update of an active binocular head
Autonomous Robots
Camera calibration in sport event scenarios
Pattern Recognition
Self-calibration of stationary non-rotating zooming cameras
Image and Vision Computing
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Algorithms for self-calibrating cameras whose changes in calibration parameters are confined to rotation and zooming are useful since many real-world imaging situations do not permit translations驴consider, for instance, cameras mounted on tripods and desk or wall-mounted active heads. In practice, however, the assumption of pure rotation is often violated because the optic center of the camera and the rotation center do not completely coincide. This work determines how such misalignments affect the estimation of the camera focal length. Expressions for the errors in focal length and recovered rotations are derived and results are confirmed with experiments on synthetic data. We show that the approximation of pure rotation is indeed sufficient in many cases, especially since other sources of error, such as noise and particularly radial distortion, tend to be more detrimental.