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Approximation to the Fisher–Rao metric for the focus of expansion

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.

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Official URL: http://dx.doi.org/10.1016/j.neucom.2007.07.040

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.

Item Type: Article
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
Depositing User: Administrator
Date Deposited: 02 Feb 2011 12:44
Last Modified: 17 Apr 2013 12:18
URI: http://eprints.bbk.ac.uk/id/eprint/1886

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