Name
Abstract | ||
|---|---|---|
We present a new algorithm for optimally computing from point correspondences over two images their 3-D positions when they are constrained to be on a planar surface. We consider two cases: the case in which the plane and camera parameters are known and the case in which they are not. In the former, we show how observed point correspondences are optimally corrected so that they are compatible with the homography between the two images determined by the plane and camera parameters. In the latter, we show how the homography is optimally estimated by iteratively using the triangulation procedure. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-19309-5_19 | Ipsj Transactions on Computer Vision and Applications |
Keywords | Field | DocType |
point correspondence,observed point correspondence,camera parameter,planar surface,optimally computing,optimal two-view planar scene,triangulation procedure,new algorithm,3-d position,optimal estimation | Computer vision,Computer science,Reconstruction error,Homography,Triangulation (social science),Planar,Artificial intelligence,Fundamental matrix (computer vision),Homography (computer vision) | Conference |
Volume | ISSN | Citations |
3 | 0302-9743 | 4 |
PageRank | References | Authors |
0.50 | 12 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kenichi Kanatani | 1 | 1468 | 320.07 |
| Hirotaka Niitsuma | 2 | 84 | 8.55 |