NANAMay 17, 2019

Second Order Spiral Splines

arXiv:1801.051051.21 citations
Originality Synthesis-oriented
AI Analysis

Provides a computationally efficient interpolation method for planar curves, but is limited to convex data and fine sampling, making it incremental for geometric design applications.

The paper develops a fast algorithm for constructing $C^2$ unit-speed planar curves (second order spiral splines) to interpolate convex, finely sampled point data, using asymptotic methods and tridiagonal linear systems.

Second order spiral splines are $C^2$ unit-speed planar curves that can be used to interpolate a list $Y$ of $n+1$ points in $\R ^2$ at times specified in some list $T$, where $n\geq 2$. Asymptotic methods are used to develop a fast algorithm, based on a pair of tridiagonal linear systems and standard software. The algorithm constructs a second order spiral spline interpolant for data that is convex and sufficiently finely sampled.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes