Gradient Flows on a Riemannian Submanifold for Discrete Tomography.
Matthias ZislerFabrizio SavarinoStefania PetraChristoph SchnörrPublished in: GCPR (2017)
Keyphrases
- discrete tomography
- riemannian metric
- infinite dimensional
- shape space
- convex sets
- vector space
- shape representation
- fisher information
- covariance matrices
- tensor field
- x ray
- tomographic reconstruction
- finite dimensional
- parameter space
- shape analysis
- np hardness
- riemannian manifolds
- object appearance
- positive definite
- shape model
- euclidean space
- finite number
- image processing
- diffusion tensor
- higher dimensional
- mixture model
- statistical analysis
- sample size
- computer vision
- image reconstruction
- feature vectors
- covariance matrix