Maybank, Stephen J. (2008) Approximation to the Fisher–Rao metric for the focus of expansion. Neurocomputing 71 (10-12), pp. 2037-2045. ISSN 0925-2312.
Abstract
The Fisher–Rao metric for the focus of expansion is approximated, under the assumption that the focus is estimated from correspondences between two images taken by a translating camera. The approximation is accurate if the errors in the image correspondences are small. The parameter space for the focus of expansion is sampled at a finite set of points chosen such that every point in the space is near to at least one sample point. A focus of expansion is detected by checking each sample point in turn to see if it is supported by the image correspondences.
Metadata
| Item Type: | Article |
|---|---|
| Keyword(s) / Subject(s): | False detection, Fisher–Rao metric, focus of expansion, Riemannian metric, translation |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Depositing User: | Administrator |
| Date Deposited: | 02 Feb 2011 12:44 |
| Last Modified: | 09 Aug 2023 12:30 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/1886 |
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