Fitting Superellipses

  title={Fitting Superellipses},
  author={Paul L. Rosin},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  • Paul L. Rosin
  • Published 2000
  • Computer Science
  • IEEE Trans. Pattern Anal. Mach. Intell.
  • In the literature, methods for fitting superellipses to data tend to be computationally expensive due to the nonlinear 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 fit measures that can be applied by most superellipse fitting methods. 
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