Recognizing conic shape: a nonlinear iterative approach

An algorithm for fitting a conic shape to a set of given data is described. By a modified medial axis transform, described in the paper, the algorithm first determines the orientation of the shape such that the shape could be rotated to align its axis with the X-axis. The standard nonlinear equations of the conic, both closed and open, are then fitted using a linearized least square approach. Some experimental results are provided indicating the convergence and good performance of the algorithm.<
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