On Ullman's theorem in computer vision
| dc.creator | Knill, Oliver | |
| dc.creator | Ramirez-Herran, Jose | |
| dc.date | 2007-08-17 | |
| dc.date.accessioned | 2026-07-07T08:24:14Z | |
| dc.date.available | 2026-07-07T08:24:14Z | |
| dc.description | Both in the plane and in space, we invert the nonlinear Ullman transformation for 3 points and 3 orthographic cameras. While Ullman's theorem assures a unique reconstruction modulo a reflection for 3 cameras and 4 points, we find a locally unique reconstruction for 3 cameras and 3 points. Explicit reconstruction formulas allow to decide whether picture data of three cameras seeing three points can be realized as a point-camera configuration. | |
| dc.description | 16 pages, 13 figures | |
| dc.identifier | https://arxiv.org/abs/0708.2438 | |
| dc.identifier | http://arxiv.org/abs/0708.2438 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/136273 | |
| dc.subject | Computer Vision and Pattern Recognition | |
| dc.subject | Artificial Intelligence | |
| dc.subject | I.2.10 | |
| dc.title | On Ullman's theorem in computer vision | |
| dc.type | text |