Name
Abstract | ||
|---|---|---|
Given a set of point correspondences in two images, the existence of a fundamental matrix is a necessary condition for the points to be the images of a 3-dimensional scene imaged with two pinhole cameras. If the camera calibration is known then one requires the existence of an essential matrix. We present an efficient algorithm, using exact linear algebra, for testing the existence of a fundamental matrix. The input is any number of point correspondences. For essential matrices, we characterize the solvability of the Demazure polynomials. In both scenarios, we determine which linear subspaces intersect a fixed set defined by non-linear polynomials. The conditions we derive are polynomials stated purely in terms of image coordinates. They represent a new class of two-view invariants, free of fundamental (resp.~essential)~matrices. |
Year | Venue | Field |
|---|---|---|
2014 | CoRR | Linear algebra,Essential matrix,Triangulation (computer vision),Matrix (mathematics),Camera resectioning,Artificial intelligence,Fundamental matrix (computer vision),Discrete mathematics,Eight-point algorithm,Pattern recognition,Epipolar geometry,Pure mathematics,Mathematics |
DocType | Volume | Citations |
Journal | abs/1407.5367 | 3 |
PageRank | References | Authors |
0.47 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sameer Agarwal | 1 | 10328 | 478.10 |
| Hon-leung Lee | 2 | 4 | 1.52 |
| Bernd Sturmfels | 3 | 926 | 136.85 |
| Rekha R. Thomas | 4 | 323 | 39.68 |