Using vanishing points for camera calibration
International Journal of Computer Vision
The Perspective View of Three Points
IEEE Transactions on Pattern Analysis and Machine Intelligence
A theory of self-calibration of a moving camera
International Journal of Computer Vision
Self-Calibration of Stationary Cameras
International Journal of Computer Vision
Estimation of Relative Camera Positions for Uncalibrated Cameras
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Camera Calibration with One-Dimensional Objects
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Autocalibration and the absolute quadric
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Stratified Approach to Metric Self-Calibration
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
The Modulus Constraint: A New Constraint for Self-Calibration
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Using Geometric Constraints through Parallelepipeds for Calibration and 3D Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hi-index | 0.00 |
In this work, a new affine invariant of parallelograms is introduced, and the explicit constraint equations between the intrinsic matrix of a camera and the similar invariants of a parallelogram or a parallelepiped are established using this affine invariant. Camera calibration and 3D reconstruction from parallelograms are systematically studied based on these constraints. The proposed theoretical results and algorithms have wide applicability as parallelograms and parallelepipeds are not rare in man-made scenes. Experimental results on synthetic and real images validate the proposed approaches.