It can be done without camera calibration
Pattern Recognition Letters
Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
Artificial Intelligence - Special volume on computer vision
Conic Reconstruction and Correspondence From Two Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-Calibration of a Moving Camera from PointCorrespondences and Fundamental Matrices
International Journal of Computer Vision
The Development and Comparison of Robust Methodsfor Estimating the Fundamental Matrix
International Journal of Computer Vision
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Estimation of Relative Camera Positions for Uncalibrated Cameras
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Camera Self-Calibration: Theory and Experiments
ECCV '92 Proceedings of the Second European Conference on Computer Vision
What can be seen in three dimensions with an uncalibrated stereo rig
ECCV '92 Proceedings of the Second European Conference on Computer Vision
A Common Framework for Kinetic Depth, Reconstruction and Motion for Deformable Objects
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
A Factorization Based Algorithm for Multi-Image Projective Structure and Motion
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Autocalibration and the absolute quadric
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Recursive Structure and Motion from Image Sequences using Shape and Depth Spaces
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Factorization Methods for Projective Structure and Motion
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Gauge Invariance in Projective 3D Reconstruction
MVIEW '99 Proceedings of the IEEE Workshop on Multi-View Modeling & Analysis of Visual Scenes
A linear method for reconstruction from lines and points
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
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
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Euclidean Reconstruction from Constant Intrinsic Parameters
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Fast and Accurate Self-Calibration
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Using Conic Correspondences in Two Images to Estimate the Epipolar Geometry
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Plane-based camera self-calibration by metric rectification of images
Image and Vision Computing
Metrics for 3D Rotations: Comparison and Analysis
Journal of Mathematical Imaging and Vision
Combining mendonça-cipolla self-calibration and scene constraints
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part II
A flexible architecture for multi-view 3DTV based on uncalibrated cameras
Journal of Visual Communication and Image Representation
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We present a scheme for incorporating scene constraints into the auto-calibration process for the structure and motion recovery problem. The steps covered by the scheme include projective factorization of the joint image measurement matrix, recovery of the absolute dual quadric, the upgrade from projective structure to its Euclidean counterpart, and incorporation of constraints from orthogonal scene planes into bundle adjustment. The focus of the paper is on the implementation details of all these steps and discussion of the various issues that arose. We have tested the scheme on both synthetic and real image data and found that it is more advantageous to incorporate into camera auto-calibration and bundle adjustment as many scene constraints as are available rather than performing auto-calibration and bundle adjustment alone.