Shape Dimension and Intrinsic Metric from Samples of Manifolds.
Joachim GiesenUli WagnerPublished in: Discret. Comput. Geom. (2004)
Keyphrases
- arbitrary dimension
- intrinsic dimension
- riemannian manifolds
- geometric structure
- data sets
- hausdorff distance
- shape analysis
- higher dimensional
- shape model
- geodesic distance
- shape features
- euclidean space
- shape descriptors
- high dimensional data
- training samples
- low dimensional
- sample points
- medial axis
- tangent space
- shape representation
- manifold learning
- distance measure
- dissimilarity measure
- evaluation metrics
- distance metric
- feature space
- metric space
- feature vectors
- high dimensional
- riemannian metric
- multiscale
- training data