Application of the FisherRao metric to ellipse detection
Maybank, Stephen J. (2007) Application of the FisherRao metric to ellipse detection. International Journal of Computer Vision 72 (3), pp. 287307. ISSN 09205691.

Text
ellipses IJCV 3rd version.pdf  Author's Accepted Manuscript Download (624kB)  Preview 
Abstract
The parameter space for the ellipses in a two dimensional image is a five dimensional manifold, where each point of the manifold corresponds to an ellipse in the image. The parameter space becomes a Riemannian manifold under a FisherRao metric, which is derived from a Gaussian model for the blurring of ellipses in the image. Two points in the parameter space are close together under the FisherRao metric if the corresponding ellipses are close together in the image. The FisherRao metric is accurately approximated by a simpler metric under the assumption that the blurring is small compared with the sizes of the ellipses under consideration. It is shown that the parameter space for the ellipses in the image has a finite volume under the approximation to the FisherRao metric. As a consequence the parameter space can be replaced, for the purpose of ellipse detection, by a finite set of points sampled from it. An efficient algorithm for sampling the parameter space is described. The algorithm uses the fact that the approximating metric is flat, and therefore locally Euclidean, on each three dimensional family of ellipses with a fixed orientation and a fixed eccentricity. Once the sample points have been obtained, ellipses are detected in a given image by checking each sample point in turn to see if the corresponding ellipse is supported by the nearby image pixel values. The resulting algorithm for ellipse detection is implemented. A multiresolution version of the algorithm is also implemented. The experimental results suggest that ellipses can be reliably detected in a given low resolution image and that the number of false detections can be reduced using the multiresolution algorithm.
Metadata
Item Type:  Article 

Additional Information:  The final publication is available at Springer via http://dx.doi.org/10.1007/s112630069033z 
Keyword(s) / Subject(s):  ellipse detection, FisherRao metric, °at metric, geodesic, Hough transform, KullbackLeibler distance, lattice, multiresolution, Riemannian manifold, volume of a Riemannian manifold, Voronoi's principal lattice. 
School:  Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems 
Depositing User:  Professor Stephen Maybank 
Date Deposited:  30 May 2014 09:30 
Last Modified:  26 Jul 2019 20:32 
URI:  http://eprints.bbk.ac.uk/id/eprint/9831 
Statistics
Additional statistics are available via IRStats2.