4.5 Article

Consistent curvature approximation on Riemannian shape spaces

期刊

IMA JOURNAL OF NUMERICAL ANALYSIS
卷 42, 期 1, 页码 78-106

出版社

OXFORD UNIV PRESS
DOI: 10.1093/imanum/draa092

关键词

sectional curvature; discrete covariant derivative; discrete curvature tensor; shape space

资金

  1. European Research Council (Starting Grant HOMOVIS) [640156]
  2. Silicon Austria Labs (TU Graz SAL DES Lab)
  3. Deutsche Forschungsgemeinschaft, Collaborative Research Center 1060 [211504053]
  4. Deutsche Forschungsgemeinschaft, Hausdorff Center for Mathematics [GZ 2047/1, 390685813]
  5. Alfried Krupp Prize for Young University Teachers - Alfried Krupp von Bohlen und Halbach-Stiftung
  6. Deutsche Forschungsgemeinschaft, MathematicsMunster: Dynamics-Geometry-Structure [EXC 2044 390685587]

向作者/读者索取更多资源

The study successfully approximates the Riemann curvature tensor and sectional curvatures by extending the variational time discretization of geodesic calculus. Experimental validation confirms the effectiveness of the method in practical applications and provides a basis for further research.
We describe how to approximate the Riemann curvature tensor as well as sectional curvatures on possibly infinite-dimensional shape spaces that can be thought of as Riemannian manifolds. To this end we extend the variational time discretization of geodesic calculus presented in Rumpf & Wirth (2015, Variational time discretization of geodesic calculus. IMA J. Numer. Anal., 35, 1011-1046), which just requires an approximation of the squared Riemannian distance that is typically easy to compute. First we obtain first-order discrete covariant derivatives via Schild's ladder-type discretization of parallel transport. Second-order discrete covariant derivatives are then computed as nested first-order discrete covariant derivatives. These finally give rise to an approximation of the curvature tensor. First- and second-order consistency are proven for the approximations of the covariant derivative and the curvature tensor. The findings are experimentally validated on two-dimensional surfaces embedded in R-3. Furthermore, as a proof of concept, the method is applied to a space of parametrized curves as well as to a space of shell surfaces, and discrete sectional curvature confusion matrices are computed on low-dimensional vector bundles.

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