STAR - Laplacian Spectral Kernels and Distances for Geometry Processing and Shape Analysis.
Giuseppe PatanèPublished in: Comput. Graph. Forum (2016)
Keyphrases
- shape analysis
- heat kernel
- geodesic distance
- euclidean space
- shape descriptors
- shape representation
- euclidean distance
- image analysis and pattern recognition
- multiscale segmentation
- shape recognition
- medical imaging
- shape space
- distance measure
- graph laplacian
- laplace beltrami
- spectral analysis
- shortest path
- distance matrix
- image analysis
- distance function
- preserving transformations
- pattern recognition
- closed curves
- geometric structure
- shape matching
- similarity measure
- manifold learning
- three dimensional
- image segmentation