Fitting Superellipses

  title={Fitting Superellipses},
  author={Paul L. Rosin},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
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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