Reconstructing d-Manifold Subcomplexes of Cubes from Their $(\lfloor d/2 \rfloor + 1)$-Skeletons.
Rowan RowlandsPublished in: Discret. Comput. Geom. (2022)
Keyphrases
- shape analysis
- medial axis
- euclidean space
- manifold learning
- shape representation
- distance transform
- high dimensional
- low dimensional
- databases
- riemannian metric
- thinning algorithm
- parameter space
- parallel thinning
- data cube
- semi supervised learning
- feature vectors
- feature space
- multiscale
- image sequences
- lower dimensional
- three dimensional
- riemannian manifolds
- nonlinear dimensionality reduction
- graph laplacian
- data sets