Fitting Superellipses

@article{Rosin2000FittingS,
  title={Fitting Superellipses},
  author={Paul L. Rosin},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  year={2000},
  volume={22},
  pages={726-732}
}
In the literature, methods for fitting superellipses to data tend to be computationally expensive due to the non-linear nature of the problem. This paper describes and tests several fitting techniques which provide different trade-offs between efficiency and accuracy. In addition, we describe various alternative error of fits (EOF) that can be applied by most superellipse fitting methods. keywords: curve, superellipse, fitting, error measure 
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A new approach for robust ellipse fitting

  • M. Stricker
  • Int. Conf. Automation, Robotics, and Computer…
  • 1994
1 Excerpt

Recovery of superquadric primitives from a range image using simulated annealing

  • N. Yokoya, M. Kaneta, K. Yamamoto
  • Int. Conf. Pattern Recognition, pages 168–172
  • 1992
1 Excerpt

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