Approximating smooth planar curves by arc splines
Journal of Computational and Applied Mathematics
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Journal of Computational and Applied Mathematics
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Computer Aided Geometric Design
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Hermite interpolation by pythagorean hodograph curves of degree seven
Mathematics of Computation
Comparing Offset Curve Approximation Methods
IEEE Computer Graphics and Applications
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Computer Aided Geometric Design
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Computer Aided Geometric Design
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Medial axis computation for planar free-form shapes
Computer-Aided Design
Divide-and-conquer for Voronoi diagrams revisited
Proceedings of the twenty-fifth annual symposium on Computational geometry
Hermite interpolation by hypocycloids and epicycloids with rational offsets
Computer Aided Geometric Design
Divide-and-conquer for Voronoi diagrams revisited
Computational Geometry: Theory and Applications
A unified Pythagorean hodograph approach to the medial axis transform and offset approximation
Journal of Computational and Applied Mathematics
Fat arcs for implicitly defined curves
MMCS'08 Proceedings of the 7th international conference on Mathematical Methods for Curves and Surfaces
Reparameterization of curves and surfaces with respect to their convolution
MMCS'08 Proceedings of the 7th international conference on Mathematical Methods for Curves and Surfaces
Efficient offset trimming for planar rational curves using biarc trees
Computer Aided Geometric Design
Computational and structural advantages of circular boundary representation
WADS'07 Proceedings of the 10th international conference on Algorithms and Data Structures
Planar C1 Hermite interpolation with uniform and non-uniform TC-biarcs
Computer Aided Geometric Design
C1 Hermite interpolation with spatial Pythagorean-hodograph cubic biarcs
Journal of Computational and Applied Mathematics
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This paper compares two techniques for the approximation of the offsets to a given planar curve. The two methods are based on approximate conversion of the planar curve into circular splines and Pythagorean hodograph (PH) splines, respectively. The circular splines are obtained using a novel variant of biarc interpolation, while the PH splines are constructed via Hermite interpolation of C^1 boundary data. We analyze the approximation order of both conversion procedures. As a new result, the C^1 Hermite interpolation with PH quintics is shown to have approximation order 4 with respect to the original curve, and 3 with respect to its offsets. In addition, we study the resulting data volume, both for the original curve and for its offsets. It is shown that PH splines outperform the circular splines for increasing accuracy, due to the higher approximation order.