Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-manifold Shapes.
Mete OzayÜmit Rusen AktasJeremy L. WyattAles LeonardisPublished in: ICCV (2015)
Keyphrases
- hierarchical representation
- shape classification
- tangent space
- object centered
- shape descriptors
- shape analysis
- shape space
- shape model
- shape representation
- euclidean space
- arbitrary dimension
- shape recognition
- feature space
- fourier descriptors
- manifold learning
- shape retrieval
- geodesic distance
- feature vectors
- pattern recognition
- shape matching
- low dimensional
- geodesic paths
- riemannian manifolds
- shape prior
- high dimensional
- geometric shapes
- riemannian metric
- shape variations
- feature selection
- feature extraction
- shape description
- machine learning
- complex shapes
- support vector machine
- support vector
- dimension reduction
- shape similarity
- multiresolution
- object shape
- multi class
- statistical shape model