Diffusion Means and Heat Kernel on Manifolds.
Pernille E. H. HansenBenjamin EltznerStefan SommerPublished in: GSI (2021)
Keyphrases
- heat kernel
- heat equation
- shape analysis
- graph laplacian
- euclidean space
- shape descriptors
- laplace beltrami
- weight matrix
- shape matching
- geodesic distance
- minimum spanning tree
- graph structure
- euclidean distance
- scale space
- manifold learning
- spanning tree
- diffusion process
- laplacian eigenmaps
- anisotropic diffusion
- manifold structure
- riemannian manifolds
- multidimensional scaling
- distance matrix
- spectral clustering
- distance function