Discrete Willmore flow
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Abstract
The Willmore energy of a surface, ∫(H^2 -- K) dA, as a function of mean and Gaussian curvature, captures the deviation of a surface from (local) sphericity. As such this energy and its associated gradient flow play an important role in digital geometry processing, geometric modeling, and physical simulation. In this paper we consider a discrete Willmore energy and its flow. In contrast to traditional approaches it is not based on a finite element discretization, but rather on an ab initio discrete formulation which preserves the Möbius symmetries of the underlying continuous theory in the discrete setting. We derive the relevant gradient expressions including a linearization (approximation of the Hessian), which are required for non-linear numerical solvers. As examples we demonstrate the utility of our approach for surface restoration, n-sided hole filling, and non-shrinking surface smoothing.
Additional Information
© The Eurographics Association 2005. This work was supported in part by NSF (DMS-0220905, DMS-0138458, ACI-0219979), DFG (Research Group "Polyhedral Surfaces" and Research Center MATHEON "Mathematics for Key Technologies" Berlin), DOE (W-7405-ENG-48/B341492), nVidia, the Center for Integrated Multiscale Modeling and Simulation, Alias, and Pixar. Special thanks to Kevin Bauer, Oscar Bruno, Mathieu Desbrun, Ilja Friedel, Cici Koenig, Nathan Litke, and Fabio Rossi.Attached Files
Published - Willmore.pdf
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Willmore.pdf
Additional details
Identifiers
- Eprint ID
- 69195
- Resolver ID
- CaltechAUTHORS:20160725-115639350
Related works
Funding
- NSF
- DMS-0220905
- NSF
- DMS-0138458
- NSF
- ACI-0219979
- Deutsche Forschungsgemeinschaft (DFG)
- Department of Energy (DOE)
- W-7405-ENG-48/B341492
- nVidia
- Center for Integrated Multiscale Modeling and Simulation
- Alias
- Pixar
Dates
- Created
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2016-07-25Created from EPrint's datestamp field
- Updated
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2020-03-09Created from EPrint's last_modified field