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Circular spline fitting using an evolution process
2009
Journal of Computational and Applied Mathematics
We propose a new method to approximate a given set of ordered data points by a spatial circular spline curve. At first an initial circular spline curve is generated by biarc interpolation. Then an evolution process based on a least-squares approximation is applied to the curve. During the evolution process, the circular spline curve converges dynamically to a stable shape. Our method does not need any tangent information. During the evolution process, the number of arcs is automatically adapted
doi:10.1016/j.cam.2009.03.002
fatcat:7dxpejumdbby3crr3cznfniq5a