Performance Evaluation of Accurate Ellipse Fitting
نویسنده
چکیده
This paper studies numerical schemes for fitting an ellipse to points in an image. First, the problem is posed as maximum likelihood, and the relationship to the KCR lower bound is stated. Then, the algorithms of FNS, HEIV, renormalization, and Gauss-Newton iterations are described. Using simulated and real image data, their convergence properties are compared, and their dependence on the shape of the arc to which an ellipse is to be fitted is revealed.
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تاریخ انتشار 2006