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A Comparison of Ellipse Fitting Methods and Implications for Multiple-View Geometry Estimation

机译:椭圆拟合方法的比较及其对多视图几何估计的意义

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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 multiple-view geometry estimation problems.
机译:在总结了将椭圆拟合数据的一些新旧技术之间的概念关系之后,我们对所讨论的方法进行了全面的实验比较。较新的技术可以保证一致性,无偏见或超准确性,但是我们的实验表明,实际上,这些估计量的性能很难与已建立的估计量的性能区分开。由于较新的技术可能会扩展到其他估计问题,因此,我们将讨论我们的实验结果对解决更一般的多视图几何估计问题的影响。

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