Camera Calibration with Distortion Models and Accuracy Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A theory of self-calibration of a moving camera
International Journal of Computer Vision
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Self-calibration from multiple views with a rotating camera
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Canonic representations for the geometries of multiple projective views
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Modeling and calibration of automated zoom lenses
Modeling and calibration of automated zoom lenses
Canonical representations for the geometries of multiple projective views
Computer Vision and Image Understanding
Self-Calibration of Stationary Cameras
International Journal of Computer Vision
Self-Calibration of Rotating and Zooming Cameras
International Journal of Computer Vision
Lens distortion calibration using point correspondences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
True Multi-Image Alignment and its Application to Mosaicing and Lens Distortion Correction
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
PTZ camera modeling and panoramic view generation via focal plane mapping
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Self-calibration of wireless cameras with restricted degrees of freedom
Computer Vision and Image Understanding
Corisco: Robust edgel-based orientation estimation for generic camera models
Image and Vision Computing
Intrinsic and extrinsic active self-calibration of multi-camera systems
Machine Vision and Applications
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Recent methods of automatically calibrating the intrinsic parameters of cameras undergoing pure rotation are based on the infinite homography constraint, and have been found to be sensitive to radial distortion in the imagery. This paper develops a straightforward argument based on geometrical optics to show that increasing pin-cushion radial distortion will produce a gently worsening underestimate of the lens' focal length, whereas increasing barrel radial distortion will produce a more sharply increasing overestimate followed by failure of the calibration. A second geometrical argument uses the approximation of a barrel-distorted image to a spherical projection to estimate the degree of distortion at which breakdown is likely to occur. The predictions are verified experimentally using data from real scenes with varying degrees of distortion and noise added. The paper also considers four methods of correcting the radial distortion within self-calibration. The first method pre-calibrates the distortion as a function of focal length, but the remainder assume no such prior knowledge. Although these prior-less methods are successful to an extent, everyday scenes are unlikely to provide image feature data of sufficient density and quality to make them fully viable.