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Robust ellipse and spheroid fitting

机译:稳健的椭圆和球体拟合

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摘要

Ellipse and ellipsoid fitting has been extensively researched and has broad applications. Traditional ellipse fitting methods provide accurate estimation of ellipse parameters in the case of low noise. However, their performance is compromised when the noise level or the ellipse eccentricity are high. In this paper, an algorithm based on the geometric definition of an ellipse/spheroid (a special class of ellipsoid) is proposed. It performs well in high-noise, and high-eccentricity cases. The efficacy of the new algorithm is demonstrated through simulations.
机译:椭圆和椭圆拟合已被广泛研究并具有广泛的应用。在低噪声的情况下,传统的椭圆拟合方法可以准确估计椭圆参数。但是,当噪声水平或椭圆偏心率较高时,它们的性能会受到影响。本文提出了一种基于椭圆/椭球体(椭圆体的特殊类)的几何定义的算法。它在高噪声和高离心率的情况下表现良好。通过仿真证明了新算法的有效性。

著录项

  • 来源
    《Pattern recognition letters》 |2012年第5期|p.492-499|共8页
  • 作者单位

    Department of Electrical Engineering, Princeton University, Princeton, N] 08544, USA;

    Department of Electrical Engineering, Princeton University, Princeton, N] 08544, USA;

    Department of Electrical Engineering, Princeton University, Princeton, N] 08544, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    curve fitting; surface fitting; parameter estimation;

    机译:曲线拟合表面贴合;参数估计;

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