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|Title:||A comparison of ellipse fitting methods and implications for multiple-view geometry estimation|
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|
|Conference Name:||International Conference on Digital Image Computing Techniques and Applications (2012 : Fremantle)|
|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|
|Appears in Collections:||Computer Science publications|
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