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Issue No.07 - July (2000 vol.22)
pp: 726-732
ABSTRACT
<p><b>Abstract</b>—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 (EOF) measures that can be applied by most superellipse fitting methods.</p>
INDEX TERMS
Curve, superellipse, fitting, error measure.
CITATION
Paul L. Rosin, "Fitting Superellipses", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.22, no. 7, pp. 726-732, July 2000, doi:10.1109/34.865190
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