Fitting Curves on Riemannian Manifolds Using Energy Minimization.
Chafik SamirPierre-Antoine AbsilAnuj SrivastavaEric KlassenPublished in: MVA (2009)
Keyphrases
- energy minimization
- riemannian manifolds
- euclidean space
- graph cuts
- energy function
- mean shift
- markov random field
- vector space
- multi class classification
- image segmentation
- belief propagation
- geodesic distance
- geometric structure
- parameter space
- manifold learning
- covariance matrices
- curve evolution
- feature space
- metric space
- higher order
- least squares
- maximum likelihood
- low dimensional
- high resolution
- image analysis
- reproducing kernel hilbert space
- pairwise
- deformable template