Szpak, Z.Chojnacki, W.Van Den Hengel, A.2013-04-262013-04-262012Proceedings of the International Conference on Digital Image Computing Techniques and Applications, held in Fremantle, 3-5 December, 2012: pp.1-89781467321792http://hdl.handle.net/2440/77216After 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.en© 2012 IEEEApproximation methodscost functionequationsmaximum likelilhood estimationshapetrainingA comparison of ellipse fitting methods and implications for multiple-view geometry estimationConference paper002012637610.1109/DICTA.2012.64117220003163184000582-s2.0-8487434508520769Szpak, Z. [0000-0002-0694-4622]Chojnacki, W. [0000-0001-7782-1956]Van Den Hengel, A. [0000-0003-3027-8364]