| Title | Euclidean and Affine Structure/Motion for Uncalibrated Cameras from Affine Shape and Subsidiary Information |
| Authors | Gunnar Sparr |
| Publication | 3D Structure from Multiple Images of Large-Scale Environments. European Workshop, SMILE'98. Proceedings |
| Year | 1998 |
| Pages | 187 - 207 |
| Document type | Conference paper |
| Conference name | 3D Structure from Multiple Images of Large-Scale Environments. European Workshop, SMILE'98. Proceedings |
| Conference Date | 1998-06-6 - 7 |
| Conference Location | Freiburg, Germany |
| Status | Published |
| Language | eng |
| Publisher | Springer-Verlag |
| Abstract English | The paper deals with the structure-motion problem for uncalibrated cameras, in the case that subsidiary information is available, consisting, for example, in known coplanarities or parallelities among points in the scene, or known positions of some focal points (hand-eye calibration). Despite unknown camera calibrations, it is shown that in many instances the subsidiary information makes affine or even Euclidean reconstruction possible. A parametrization by affine shape and depth is used, providing a simple framework for the incorporation of apriori knowledge, and enabling the development of iterative, rapidly converging algorithms. Any number of points in any number of images are used in a uniform way, with equal priority, and independently of coordinate representations. Moreover, occlusions are allowed |
| Keywords | image reconstruction, motion estimation, uncalibrated cameras, affine shape, structure-motion problem, Euclidean reconstruction, occlusions, computer vision, affine shape and depth, |
| ISBN/ISSN/Other | ISBN: 3 540 65310 4 |
Questions: webmaster
Last update: 2013-04-11
Centre for Mathematical Sciences, Box 118, SE-22100, Lund. Telefon: +46 46-222 00 00 (vx)