Numerical recipes in C: the art of scientific computing
Numerical recipes in C: the art of scientific computing
Mathematica: a system for doing mathematics by computer
Mathematica: a system for doing mathematics by computer
What can be seen in three dimensions with an uncalibrated stereo rig
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Canonical Frames for Planar Object Recognition
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Depth Computations from Polyhedral Images
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Euclidean Reconstruction from Uncalibrated Views
Proceedings of the Second Joint European - US Workshop on Applications of Invariance in Computer Vision
What Tasks can be Performed with an Uncalibrated Stereo Vision System?
International Journal of Computer Vision
Catadioptric Projective Geometry
International Journal of Computer Vision
Kruppa Equation Revisited: Its Renormalization and Degeneracy
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Camera Autocalibration and Horopter Curves
International Journal of Computer Vision
Visual Modeling with a Hand-Held Camera
International Journal of Computer Vision
Untwisting a Projective Reconstruction
International Journal of Computer Vision
The Local Projective Shape of Smooth Surfaces and Their Outlines
International Journal of Computer Vision
Self-recalibration of a structured light system via plane-based homography
Pattern Recognition
Quasiconvex Optimization for Robust Geometric Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sparse Structures in L-Infinity Norm Minimization for Structure and Motion Reconstruction
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Coplanar circles, quasi-affine invariance and calibration
Image and Vision Computing
3D Reconstruction from Multiple Images Part 1: Principles
Foundations and Trends® in Computer Graphics and Vision
Sequential L∞ norm minimization for triangulation
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Plane metric rectification from a single view of multiple coplanar circles
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Globally Optimal Algorithms for Stratified Autocalibration
International Journal of Computer Vision
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
View independent human body pose estimation from a single perspective image
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Linear solvability in the viewing graph
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Planar affine rectification from change of scale
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Monocular Template-based Reconstruction of Inextensible Surfaces
International Journal of Computer Vision
Maximum likelihood autocalibration
Image and Vision Computing
Verifying Global Minima for L2 Minimization Problems in Multiple View Geometry
International Journal of Computer Vision
Hi-index | 0.00 |
It is known that a set of points in three-dimensions is determinedup to projectivity from two views with uncalibrated cameras. It is shown inthis paper that this result may be improved by distinguishing between pointsin front of and behind the camera. Any point that lies in an image must liein front of the camera producing that image. Using this idea, it is shownthat the scene is determined from two views up to a more restricted class ofmappings known as quasi-affine transformations, which are precisely thoseprojectivities that preserve the convex hull of an object of interest. Aninvariant of quasi-affine transformation known as the chiral sequence of aset of points is defined and it is shown how the chiral sequence may becomputed using two uncalibrated views. As demonstrated theoretically and byexperiment the chiral sequence may distinguish between sets of points thatare projectively equivalent. These results lead to necessary and sufficientconditions for a set of corresponding pixels in two images to be realizableas the images of a set of points in three dimensions.Using similar methods,a necessary and sufficient condition is given for the orientation of a setof points to be determined by two views. If the perspective centres are notseparated from the point set by a plane, then the orientation of the set ofpoints is determined from two views.