Least-Squares Fitting of Two 3-D Point Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
The twisted cubic and camera calibration
Computer Vision, Graphics, and Image Processing
A linear algorithm for motion estimation using straight line correspondences
Computer Vision, Graphics, and Image Processing
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
Motion and Structure from Line Correspondences; Closed-Form Solution, Uniqueness, and Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Subspace methods for recovering rigid motion I: algorithm and implementation
International Journal of Computer Vision
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Active intrinsic calibration using vanishing points
Pattern Recognition Letters
Lines and Points in Three Views and the Trifocal Tensor
International Journal of Computer Vision
In Defense of the Eight-Point Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Degeneracy of Linear Reconstruction From Three Views: Linear Line Complex and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance Evaluation and Analysis of Vanishing Point Detection Techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Machine Vision and Applications
A Few Steps Towards 3d Active Vision
A Few Steps Towards 3d Active Vision
Robot aerobics: four easy steps to a more flexible calibration
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
PhotoBuilder -- 3D Models of Architectural Scenes from Uncalibrated Images
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Motion from 3D line correspondences: linear and non-linear solutions
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Mirror localization for catadioptric imaging system by observing parallel light pairs
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Robot positioning using camera-space manipulation with a linear camera model
IEEE Transactions on Robotics
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The majority of camera calibration methods, including the Gold Standard algorithm, use point-based information and simultaneously estimate all calibration parameters. In contrast, we propose a novel calibration method that exploits line orientation information and decouples the problem into two simpler stages. We formulate the problem as minimization of the lateral displacement between single projected image lines and their vanishing points. Unlike previous vanishing point methods, parallel line pairs are not required. Additionally, the invariance properties of vanishing points mean that multiple images related by pure translation can be used to increase the calibration data set size without increasing the number of estimated parameters. We compare this method with vanishing point methods and the Gold Standard algorithm and demonstrate that it has comparable performance.