Approximation by planar elastic curves
David Brander, Jens Gravesen, Toke Bjerge N{\o}rbjerg

TL;DR
This paper presents an algorithm that approximates a plane curve segment with an elastic curve using an analytic representation, geometric initial guess, and gradient optimization.
Contribution
It introduces a novel method combining analytic, geometric, and optimization techniques for elastic curve approximation.
Findings
Effective approximation of plane curves by elastic curves demonstrated.
The method provides good initial guesses for optimization.
Gradient-driven optimization refines the elastic curve approximation.
Abstract
We give an algorithm for approximating a given plane curve segment by a planar elastic curve. The method depends on an analytic representation of the space of elastic curve segments, together with a geometric method for obtaining a good initial guess for the approximating curve. A gradient-driven optimization is then used to find the approximating elastic curve.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
