Computing camera parameters using vanishing-line information from a rectangular parallelepiped
Machine Vision and Applications
A camera calibration technique using three sets of parallel lines
Machine Vision and Applications
Using vanishing points for camera calibration
International Journal of Computer Vision
3-D camera calibration using vanishing point concept
Pattern Recognition
Camera Calibration by Vanishing Lines for 3-D Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Calibration of a computer controlled robotic vision sensor with a zoom lens
CVGIP: Image Understanding
Modeling and calibration of automated zoom lenses
Modeling and calibration of automated zoom lenses
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer vision
Multiple view geometry in computer vision
Self-Calibration of Rotating and Zooming Cameras
International Journal of Computer Vision
The Geometry of Multiple Images: The Laws That Govern The Formation of Images of A Scene and Some of Their Applications
Camera Self-Calibration: Theory and Experiments
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Another Way of Looking at Plane-Based Calibration: The Centre Circle Constraint
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
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)
Metric Rectification for Perspective Images of Planes
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
From Projective to Euclidean Space Under any Practical Situation, a Criticism of Self-Calibration
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Camera Calibration with One-Dimensional Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Points at Infinity for Parameter Decoupling in Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Degenerate Cases and Closed-form Solutions for Camera Calibration with One-Dimensional Objects
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
PhotoBuilder -- 3D Models of Architectural Scenes from Uncalibrated Images
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Camera calibration with moving one-dimensional objects
Pattern Recognition
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We present a novel technique for calibrating a zooming camera based on the invariance properties of the normalised image of the absolute conic (NIAC). We show that the camera parameters independent of position, orientation and zooming are determined uniquely by the NIAC, and we exploit these invariance properties to develop a stratified calibration method that decouples the calibration parameters. The method is organised in three steps: (i) computation of the NIAC, (ii) computation of the focal length for each image and (iii) computation of the orientation and the position of the camera. The method requires a minimum of three views of a single planar grid. Experiments with synthetic and real data suggest that the method is competitive with other state-of-the-art plane-based zooming calibration methods in the scenarios considered.