A Buyer's Guide to Conic Fitting

  title={A Buyer's Guide to Conic Fitting},
  author={Andrew W. Fitzgibbon and Robert B. Fisher},
In this paper we evaluate several methods of fitting data to conic sections. Conic fitting is a commonly required task in machine vision, but many algorithms perform badly on incomplete or noisy data. We evaluate several algorithms under various noise and degeneracy conditions, identify the key parameters which affect sensitivity, and present the results of comparative experiments which emphasize the algorithms' behaviours under common examples of degenerate data. In addition, complexity… CONTINUE READING
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