Heat Kernel Smoothing via Laplace-Beltrami Eigenfunctions and Its Application to Subcortical Structure Modeling.
Seung-Goo KimMoo K. ChungSeongho SeoStacey M. SchaeferCarien M. van ReekumRichard J. DavidsonPublished in: PSIVT (1) (2011)
Keyphrases
- heat kernel
- laplace beltrami
- graph structure
- shape analysis
- graph laplacian
- basis functions
- point cloud
- spectral analysis
- shape descriptors
- riemannian manifolds
- weight matrix
- d mesh
- euclidean space
- minimum spanning tree
- shape matching
- scale space
- wiener filter
- spanning tree
- random walk
- embedding space
- geodesic distance
- euclidean distance
- differential operators
- weighted graph
- manifold structure
- multiscale
- spectral clustering
- medical imaging
- structure from motion
- dimensionality reduction