Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds.
Daniel KelshawLuca MagriPublished in: CoRR (2023)
Keyphrases
- geodesic distance
- euclidean space
- manifold learning
- riemannian manifolds
- geometric structure
- geodesic paths
- low dimensional
- manifold structure
- shape analysis
- shortest path
- fisher information
- nonlinear dimensionality reduction
- embedding space
- vector space
- laplacian eigenmaps
- dimensionality reduction
- objective function
- locally linear embedding
- euclidean distance
- shape space
- high dimensional
- data points
- semi supervised
- distance transform
- metric space
- dimension reduction
- distance metric
- feature space
- feature extraction
- image sequences
- heat kernel