Empirical Inference Article 2008

Manifold-valued Thin-plate Splines with Applications in Computer Graphics

We present a generalization of thin-plate splines for interpolation and approximation of manifold-valued data, and demonstrate its usefulness in computer graphics with several applications from different fields. The cornerstone of our theoretical framework is an energy functional for mappings between two Riemannian manifolds which is independent of parametrization and respects the geometry of both manifolds. If the manifolds are Euclidean, the energy functional reduces to the classical thin-plate spline energy. We show how the resulting optimization problems can be solved efficiently in many cases. Our example applications range from orientation interpolation and motion planning in animation over geometric modelling tasks to color interpolation.

Author(s): Steinke, F. and Hein, M. and Peters, J. and Schölkopf, B.
Journal: Computer Graphics Forum
Volume: 27
Number (issue): 2
Pages: 437-448
Year: 2008
Month: April
Day: 0
Bibtex Type: Article (article)
DOI: 10.1111/j.1467-8659.2008.01141.x
Digital: 0
Electronic Archiving: grant_archive
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik
Links:

BibTex

@article{4944,
  title = {Manifold-valued Thin-plate Splines
  with Applications in Computer Graphics},
  journal = {Computer Graphics Forum},
  abstract = {We present a generalization of thin-plate splines for interpolation and approximation of manifold-valued data, and
  demonstrate its usefulness in computer graphics with several applications from different fields. The cornerstone
  of our theoretical framework is an energy functional for mappings between two Riemannian manifolds which
  is independent of parametrization and respects the geometry of both manifolds. If the manifolds are Euclidean,
  the energy functional reduces to the classical thin-plate spline energy. We show how the resulting optimization
  problems can be solved efficiently in many cases. Our example applications range from orientation interpolation
  and motion planning in animation over geometric modelling tasks to color interpolation.},
  volume = {27},
  number = {2},
  pages = {437-448},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  month = apr,
  year = {2008},
  slug = {4944},
  author = {Steinke, F. and Hein, M. and Peters, J. and Sch{\"o}lkopf, B.},
  month_numeric = {4}
}