Choosing nodes in parametric curve interpolation
Computer-Aided Design
Convergence and C1 analysis of subdivision schemes on manifolds by proximity
Computer Aided Geometric Design - Special issue: Geometric modelling and differential geometry
On the deviation of a parametric cubic spline interpolant from its data polygon
Computer Aided Geometric Design
On the parameterization of Catmull-Rom curves
2009 SIAM/ACM Joint Conference on Geometric and Physical Modeling
Curve subdivision with arc-length control
Computing - Geometric Modelling, Dagstuhl 2008
Parameterization and applications of Catmull-Rom curves
Computer-Aided Design
Polynomial-based non-uniform interpolatory subdivision with features control
Journal of Computational and Applied Mathematics
Full length article: A piecewise polynomial approach to analyzing interpolatory subdivision
Journal of Approximation Theory
The approximation order of four-point interpolatory curve subdivision
Journal of Computational and Applied Mathematics
Globally convergent adaptive normal multi-scale transforms
Proceedings of the 7th international conference on Curves and Surfaces
Curvature of approximating curve subdivision schemes
Proceedings of the 7th international conference on Curves and Surfaces
Geometric conditions for tangent continuity of interpolatory planar subdivision curves
Computer Aided Geometric Design
Interproximate curve subdivision
Journal of Computational and Applied Mathematics
Non-uniform non-tensor product local interpolatory subdivision surfaces
Computer Aided Geometric Design
A smoothness criterion for monotonicity-preserving subdivision
Advances in Computational Mathematics
Hi-index | 0.00 |
Dubuc's interpolatory four-point scheme inserts a new point by fitting a cubic polynomial to neighbouring points over uniformly spaced parameter values. In this paper we replace uniform parameter values by chordal and centripetal ones. Since we update the parameterization at each refinement level, both schemes are non-linear. Because of this data-dependent parameterization, the schemes are only invariant under solid body and isotropic scaling transformations, but not under general affine transformations. We prove convergence of the two schemes and bound the distance between the limit curve and the initial control polygon. Numerical examples indicate that the limit curves are smooth and that the centripetal one is tighter, as suggested by the distance bounds. Similar to cubic spline interpolation, the use of centripetal parameter values for highly non-uniform initial data yields better results than the use of uniform or chordal ones.