Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/33974
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Type: Conference paper
Title: Optimal circle fitting via branch and bound
Author: Zelniker, Emanuel Emil
Appleton, B. C.
Clarkson, V. L.
Citation: Optimal circle fitting via branch and bound. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, March 18-23 2005: pp. 709 - 712
Issue Date: 2005
ISSN: 1520-6149
Conference Name: IEEE International Conference on Acoustics, Speech, and Signal Processing (2005 : Philadelphia, USA)
School/Discipline: School of Computer Science
Abstract: We examine the problem of fitting a circle to a set of noisy measurements of points from the circle's circumference, assuming independent, identically distributed Gaussian measurement errors. We propose an algorithm based on branch and bound to obtain the maximum likelihood estimate and show that this algorithm obtains the optimal estimate. We examine the rate of convergence and determine the computational complexity of the proposed algorithm. We also provide timings and compare them to those of existing techniques for circle fitting proposed in the literature. Finally, we demonstrate that our algorithm is statistically efficient by comparing our results to the Cramer-Rao lower bound.
Description: © Copyright 2005 IEEE
RMID: 0020064269
DOI: 10.1109/ICASSP.2005.1416107
Appears in Collections:Computer Science publications

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