Geometric modeling in shape space

Martin Kilian*, Niloy J. Mitra, Helmut Pottmann

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

81 Scopus citations

Abstract

We present a novel framework to treat shapes in the setting of Riemannian geometry. Shapes - triangular meshes or more generally straight line graphs in Euclidean space - are treated as points in a shape space. We introduce useful Riemannian metrics in this space to aid the user in design and modeling tasks, especially to explore the space of (approximately) isometric deformations of a given shape. Much of the work relies on an efficient algorithm to compute geodesics in shape spaces; to this end, we present a multi-resolution framework to solve the interpolation problem - which amounts to solving a boundary value problem - as well as the extrapolation problem - an initial value problem - in shape space. Based on these two operations, several classical concepts like parallel transport and the exponential map can be used in shape space to solve various geometric modeling and geometry processing tasks. Applications include shape morphing, shape deformation, deformation transfer, and intuitive shape exploration.

Original languageEnglish (US)
DOIs
StatePublished - 2007
Externally publishedYes
Event34th Annual Meeting of the Association for Computing Machinery's Special Interest Group on Graphics - San Diego, CA, United States
Duration: Aug 5 2007Aug 9 2007

Other

Other34th Annual Meeting of the Association for Computing Machinery's Special Interest Group on Graphics
Country/TerritoryUnited States
CitySan Diego, CA
Period08/5/0708/9/07

Keywords

  • Geodesic
  • Isometric deformation
  • Parallel transport
  • Riemannian geometry
  • Shape exploration
  • Shape space

ASJC Scopus subject areas

  • General Computer Science

Fingerprint

Dive into the research topics of 'Geometric modeling in shape space'. Together they form a unique fingerprint.

Cite this