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A new approach for robust ellipse fitting

M. Stricker
Proc.~of the third Intern. Conference on Automation, Robotics and Computer Vision (Singapore)
November 1994

Abstract

For many applications it is critical to accurately fit elliptical arcs to measured data points. We develop a modification of the least squares algorithm that has a mechanism to fit an elliptical arc to the data and to segment the data, in parallel. We show that this approach improves both, the accuracy of the fitted ellipse and the reliability of the segmentation. In addition, the algorithm uses a new Euclidean distance approximation with a low computational complexity to build the sum squares of the distances from the data points to an ellipse.

Download in postscript format
@InProceedings{eth_biwi_00025,
  author = {M. Stricker},
  title = {A new approach for robust ellipse fitting},
  booktitle = {Proc.~of the third Intern. Conference on Automation, Robotics and Computer Vision (Singapore)},
  year = {1994},
  month = {November},
  pages = {940-945},
  volume = {2},
  keywords = {fitting, parametric, non-linear}
}