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.Full text not available from this repository.
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.
|Keyword(s) / Subject(s):||False detection, Fisher–Rao metric, focus of expansion, Riemannian metric, translation|
|School or Research Centre:||Birkbeck Schools and Research Centres > School of Business, Economics & Informatics > Computer Science and Information Systems|
|Date Deposited:||02 Feb 2011 12:44|
|Last Modified:||17 Apr 2013 12:18|
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