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.
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:||Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems|
|Date Deposited:||02 Feb 2011 12:44|
|Last Modified:||17 Apr 2013 12:18|
Additional statistics are available via IRStats2.