1999Unpublished venueRequires access

Nonlinear spline generation with curve evolutions driven by curvature

Alexander Belyaev, Elena Anoshkina, S. Yoshizawa

Open publisher page 3 citations

Abstract

The paper develops a method to design nonlinear splines on a plane via curve evolutions driven by curvature. We consider a curve passing through two given end points and satisfying prescribed boundary conditions at them (for example, curvature values or tangent directions are specified at the end points). Each point of the curve moves in the normal direction with speed equal to a function of the curvature and curvature derivatives at the point. Choosing the speed function properly, the evolving curve converges to a desired nonlinear spline. We also consider evolutions of closed curves for purposes of multiscale shape analysis. Smooth curve evolutions are approximated by evolutions of polygonal curves. Discrete analogs of the curvature and its derivatives are considered.

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What this paper is about

The paper develops a method to design nonlinear splines on a plane via curve evolutions driven by curvature. We consider a curve passing through two given end points and satisfying prescribed boundary conditions at them (for example, curvature values or tangent directions are specified at the end points). Each point of the curve moves in the normal direction with speed equal to a function of the curvature and curvature derivatives at the point. Choosing the speed function properly, the evolving curve converges to a desired nonlinear spline. We also consider evolutions of closed curves for purposes of multiscale shape analysis. Smooth curve evolutions are approximated by evolutions of polygonal curves. Discrete analogs of the curvature and its derivatives are considered.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The paper develops a method to design nonlinear splines on a plane via curve evolutions driven by curvature. We consider a curve passing through two given end points and satisfying prescribed boundary conditions at them (for example, curvature values or tangent directions are specified at the end points). Each point of the curve moves in the normal direction with speed equal to a function of the curvature and curvature derivatives at the point. Choosing the speed function properly, the evolving curve converges to a desired nonlinear spline. We also consider evolutions of closed curves for purposes of multiscale shape analysis. Smooth curve evolutions are approximated by evolutions of polygonal curves. Discrete analogs of the curvature and its derivatives are considered.

Key concepts: Curvature, Center of curvature, Tangent, Torsion of a curve, Osculating circle, Mathematical analysis, Nonlinear system, Mathematics

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