Image-based view synthesis by combining trilinear tensors and learning techniques
VRST '97 Proceedings of the ACM symposium on Virtual reality software and technology
Reduced Multilinear Constraints: Theory and Experiments
International Journal of Computer Vision
Using Specific Displacements to Analyze Motion without Calibration
International Journal of Computer Vision
The Problem of Degeneracy in Structure and Motion Recovery from Uncalibrated Image Sequences
International Journal of Computer Vision - 1998 Marr Prize
A Multi-Frame Structure-from-Motion Algorithm under Perspective Projection
International Journal of Computer Vision - Special issue on computer vision research at NEC Research Institute
3D Photography Using Shadows in Dual-Space Geometry
International Journal of Computer Vision
Model-Based Brightness Constraints: On Direct Estimation of Structure and Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Linear Algorithm for Computing the Homography from Conics in Correspondence
Journal of Mathematical Imaging and Vision
Two-Way Ambiguity in 2D Projective Reconstruction from Three Uncalibrated 1D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Geometry and Matching of Lines and Curves Over Multiple Views
International Journal of Computer Vision
Novel View Synthesis by Cascading Trilinear Tensors
IEEE Transactions on Visualization and Computer Graphics
Calibration-Free Augmented Reality in Perspective
IEEE Transactions on Visualization and Computer Graphics
A Minimal Set of Constraints for the Trivocal Tensor
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
On Weighting and Choosing Constraints for Optimally Reconstructing the Geometry of Image Triplets
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Point- and Line-Based Parameterized Image Varieties for Image-Based Rendering
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Lines in One Orthographic and Two Perspective Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
MSLD: A robust descriptor for line matching
Pattern Recognition
Continuous stereo self-calibration by camera parameter tracking
IEEE Transactions on Image Processing
Scene point constraints in camera auto-calibration: an implementational perspective
Image and Vision Computing
Robust refinement methods for camera calibration and 3D reconstruction from multiple images
Pattern Recognition Letters
Tracking camera parameters of an active stereo rig
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Using projective invariant properties for efficient 3d reconstruction
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
3D reconstruction based on invariant properties of 2d lines in projective space
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
High-Order differential geometry of curves for multiview reconstruction and matching
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Robust line matching through line-point invariants
Pattern Recognition
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Discusses the basic role of the trifocal tensor in scene reconstruction. This 3/spl times/3/spl times/3 tensor plays a role in the analysis of scenes from three views analogous to the role played by the fundamental matrix in the two-view case. In particular, the trifocal tensor maybe computed by a linear algorithm from a set of 13 line correspondences in three views. It is further shown in this paper to be essentially identical to a set of coefficients introduced by Shashua (1994) to effect point transfer in the three-view case. This observation means that the 13-line algorithm may be extended to allow for the computation of the trifocal tensor given any mixture of sufficiently many line and point correspondences. From the trifocal tensor, the camera image matrices may be computed, and the scene may be reconstructed. For unrelated uncalibrated cameras, this reconstruction is unique up to projectivity. Thus, projective reconstruction of a set of lines and points may be reconstructed linearly from three views.