Hierarchical Shape Segmentation and Registration via Topological Features of Laplace-Beltrami Eigenfunctions.
Martin ReuterPublished in: Int. J. Comput. Vis. (2010)
Keyphrases
- laplace beltrami
- topological features
- point cloud
- shape analysis
- heat kernel
- basis functions
- graph laplacian
- complex shapes
- spectral analysis
- medical imaging
- riemannian manifolds
- shape prior
- image segmentation
- intensity distribution
- shape descriptors
- d mesh
- image registration
- structure from motion
- level set
- link prediction
- euclidean space
- multiscale
- medical images
- image analysis
- shape model
- linear combination
- multiple scales
- three dimensional
- wiener filter
- image processing
- laplacian eigenmaps
- random walk
- shape variations
- computer vision