Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/77216
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Type: Conference paper
Title: A comparison of ellipse fitting methods and implications for multiple-view geometry estimation
Author: Szpak, Z.
Chojnacki, W.
Van Den Hengel, A.
Citation: Proceedings of the International Conference on Digital Image Computing Techniques and Applications, held in Fremantle, 3-5 December, 2012: pp.1-8
Publisher: IEEE
Publisher Place: USA
Issue Date: 2012
ISBN: 9781467321792
Conference Name: International Conference on Digital Image Computing Techniques and Applications (2012 : Fremantle)
Statement of
Responsibility: 
Zygmunt L. Szpak, Wojciech Chojnacki and Anton van den Hengel
Abstract: After summarising the conceptual relationship between some old and new techniques for fitting ellipses to data, we conduct a thorough experimental comparison of the discussed methods. The newer techniques promise consistency, unbiasedness, or hyper-accuracy, but our experiments reveal that in practice the performance of these estimators is difficult to distinguish from the performance of established estimators. Since the newer techniques could potentially be extended to other estimation problems, we discuss what implications our experimental findings have for solving more general multipleview geometry estimation problems.
Keywords: Approximation methods; cost function; equations; maximum likelilhood estimation; shape; training
Rights: © 2012 IEEE
RMID: 0020126376
DOI: 10.1109/DICTA.2012.6411722
Published version: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6409267
Appears in Collections:Computer Science publications

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