A family of smooth and interpolatory basis functions for parametric curve and surface representation

D. Schmitter, R. Delgado-Gonzalo and M. Unser

Applied Mathematics and Computation, 2016, vol. 272, issue P1, 53-63

Abstract: Interpolatory basis functions are helpful to specify parametric curves or surfaces that can be modified by simple user-interaction. Their main advantage is a characterization of the object by a set of control points that lie on the shape itself (i.e., curve or surface). In this paper, we characterize a new family of compactly supported piecewise-exponential basis functions that are smooth and satisfy the interpolation property. They can be seen as a generalization and extension of the Keys interpolation kernel using cardinal exponential B-splines. The proposed interpolators can be designed to reproduce trigonometric, hyperbolic, and polynomial functions or combinations of them. We illustrate the construction and give concrete examples on how to use such functions to construct parametric curves and surfaces.

Keywords: B-splines; Exponential B-splines; Compact support; Interpolation; Parametric curves; Parametric surfaces (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:272:y:2016:i:p1:p:53-63

DOI: 10.1016/j.amc.2015.06.127

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