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Surface Energy Functionals

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Presentation on theme: "Surface Energy Functionals"— Presentation transcript:

1 Surface Energy Functionals
An Overview

2 Functional #1: Bending Energy
Minimize total curvature Proposed minimizers: Lawson Surfaces Average normal curvature at a given surface point Lawson Surfaces for genus = 2, 3, 1 is a topological constant, ignore!

3 Functional #1: Bending Energy
Bending Energy ≡ Willmore Energy (topological constant)

4 Functional #1: Bending Energy
Special case: open surfaces with position constraints on boundary: Bending Energy <=> Surface Area Minimize surface area → Zero mean curvature everywhere (“minimal surfaces”) Soap films: natural minimal surfaces

5 Functional #1: Bending Energy
Consider a functional that favors umbilics Bending Energy Bending Energy ≡ “how umbilic is a surface”

6 Bending Energy as an Aesthetic Functional

7 Functional #2: MVS Minimum Variation Surfaces
Minimize change in principal curvatures along respective principal direction Curvature variation along lines of curvature (function of κ1, e1, κ2, e2) Introduced by Moreton and Séquin (1992)

8 Functional #2: MVS Minimum Variation Surfaces
Bending Energy Minimizer MVS Energy Minimizer

9 Functional #2: MVS Minimum Variation Surfaces
Produces cyclides (lines of curvature are circles) spheres, cylinders, cones, tori, Horn cyclides …all have MVS energy = 0 MVS cannot distinguish between cyclides! image © Jürgen Meier (

10 Functional #3: MVScross (MVS + cross terms)
Minimize change in principal curvatures along both principal directions Gradient of principal curvatures in Riemannian metric Therefore, more complete than MVS MVScross Energy = 0 for spheres and cylinders Best approximation of a sphere or cylinder

11 113 343 2408 142 1548 6416 144 975 4020 195 7331 22688


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