| Title | Euclidean Reconstruction from Constant Intrinsic Parameters |
| Authors | Anders Heyden, Karl Åström |
| Alternative Location | http://ieeexplore.ieee.org/..., Restricted Access |
| Alternative Location | http://dx.doi.org/10.1109/I..., Restricted Access |
| Year | 1996 |
| Volume | 1 |
| Pages | 339 - 343 |
| Document type | Conference paper |
| Conference name | Proceedings of 13th International Conference on Pattern Recognition |
| Conference Date | 1996-08-25 - 1996-08-29 |
| Conference Location | Vienna, Austria |
| Status | Published |
| Language | eng |
| Publisher | IEEE Computer Society Press |
| Abstract English | A new method for Euclidean reconstruction from sequences of images taken by uncalibrated cameras, with constant intrinsic parameters, is described. Our approach leads to a variant of the so called Kruppa equations. It is shown that it is possible to calculate the intrinsic parameters as well as the Euclidean reconstruction from at least three images. The novelty of our approach is that we build our calculation on a projective reconstruction obtained without the assumption on constant intrinsic parameters. This assumption simplifies the analysis, because a projective reconstruction is already obtained and we need “only” to find the correct Euclidean reconstruction among all possible projective reconstructions |
| Keywords | image reconstruction, image sequences, matrix algebra, |
| ISBN/ISSN/Other | ISBN: 0 8186 7282 X |
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