Abstract
We present a new method for constructing a low degree C 1 implicit spline representation of a given parametric planar curve. To ensure the low degree condition, quadratic B-splines are used to approximate the given curve via orthogonal projection in Sobolev spaces. Adaptive knot removal, which is based on spline wavelets, is used to reduce the number of segments. The spline segments are implicitized. After multiplying the implicit spline segments by suitable polynomial factors the resulting bivariate functions are joined along suitable transversal lines. This yields a globally C 1 bivariate function.
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Shalaby, M., Jüttler, B., Schicho, J. (2004). C 1 Spline Implicitization of Planar Curves. In: Winkler, F. (eds) Automated Deduction in Geometry. ADG 2002. Lecture Notes in Computer Science(), vol 2930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24616-9_10
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DOI: https://doi.org/10.1007/978-3-540-24616-9_10
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