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» Manifold Clustering of Shapes
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CG
2011
Springer
13 years 2 days ago
IA*: An adjacency-based representation for non-manifold simplicial shapes in arbitrary dimensions
We propose a compact, dimension-independent data structure for manifold, non-manifold and non-regular simplicial complexes, that we call the Generalized Indexed Data structure wit...
David Canino, Leila De Floriani, Kenneth Weiss
SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
14 years 22 days ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
MICCAI
2007
Springer
14 years 9 months ago
Shape Analysis Using a Point-Based Statistical Shape Model Built on Correspondence Probabilities
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...
Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Heinz...
CGF
2004
92views more  CGF 2004»
13 years 8 months ago
Para-Graph: Graph-Based Parameterization of Triangle Meshes with Arbitrary Genus
This paper describes a novel approach to the parameterization of triangle meshes representing 2-manifolds with an arbitrary genus. A topology-based decomposition of the shape is c...
Giuseppe Patanè, Michela Spagnuolo, Bianca ...
CGF
2010
111views more  CGF 2010»
13 years 8 months ago
One Point Isometric Matching with the Heat Kernel
A common operation in many geometry processing algorithms consists of finding correspondences between pairs of shapes by finding structure-preserving maps between them. A particul...
Maks Ovsjanikov, Quentin Mérigot, Facundo M...