Quan : Conic Reconstruction and Correspondence from Two Views 3
نویسنده
چکیده
| Conics are widely accepted as one of the most fundamental image features together with points and line segments. The problem of space reconstruction and correspondence of two conics from two views is addressed in this paper. It is shown that there are two independent polynomial conditions on the corresponding pair of conics across two views, given the relative orientation of the two views. These two correspondence conditions are derived algebraically and one of them is shown to be fundamental in establishing the correspondences of conics. A uniied closed-form solution is also developed for both projective reconstruction of conics in space from two views for uncalibrated cameras and metric reconstruction from calibrated cameras. Experiments are conducted to demonstrate the discriminality of the correspondence conditions and the accuracy and stability of the reconstruction both for simulated and real images.
منابع مشابه
Quan : Conic Reconstruction and Correspondence from Two Views
| Conics are widely accepted as one of the most fundamental image features together with points and line segments. The problem of space reconstruction and correspondence of two conics from two views is addressed in this paper. It is shown that there are two independent polynomial conditions on the corresponding pair of conics across two views, given the relative orientation of the two views. Th...
متن کاملInvariant of a Pair of Non-Coplanar Conies in Space: Definition, Geometric Interpretation and Computation
The joint invariants of a pair of coplanar conics has been widely used in recent vision literature. In this paper, the algebraic invariant of a pair of non-coplanar conics in space is concerned. The algebraic invariant of a pair of non-coplanar conics is rst derived from the invariant algebra of a pair of quaternary quadratic forms by using the dual representation of space conics. Then, this al...
متن کاملGeometry of Single Axis Motions Using Conic Fitting
Previous algorithms for recovering 3D geometry from an uncalibrated image sequence of a single axis motion of unknown rotation angles are mainly based on the computation of two-view fundamental matrices and three-view trifocal tensors. In this paper, we propose three new methods that are based on fitting a conic locus to corresponding image points over multiple views. The main advantage is that...
متن کاملReconstruction of 3D Curvilinear Wireframe Model from 2D Orthographic Views
An approach for reconstructing wireframe models of curvilinear objects from three orthographic views is discussed. Our main stress is on the method of generating three-dimensional (3D) conic edges from twodimensional (2D) projection conic curves, which is the pivotal work for reconstructing curvilinear objects from three orthographic views. In order to generate 3D conic edges, a five-point meth...
متن کاملTwo-Way Ambiguity in 2D Projective Reconstruction from Three Uncalibrated 1D Images
We show that there is in general a two-way ambiguity for 2D projective reconstruction from three uncalibrated 1D views, independent of the number of point correspondences. The two distinct projective reconstructions are exactly related by a quadratic transformation with the three camera centers as fundamental points. Unique 2D reconstruction is possible only when the three camera centers are al...
متن کامل