Spectral mesh segmentation
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Summary
This thesis takes the spectral approach to mesh segmentation, and develops a surface metric which captures part information through a volumetric consideration, and designs a spectral clustering algorithm to extract the parts of a mesh, essentially solving a global optimization problem approximately.
- Type
- dissertation
- Published
- 2009-01-01
- Cited by
- 3
- References
- 119
- Access
- Open access
- OpenAlex
- https://openalex.org/W70760352
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:115768008
Keywords
Segmentation, Polygon mesh, Computer science, Spectral clustering, Visualization
References
- Extraction and remeshing of ellipsoidal representations from mesh data
- Decomposing polygon meshes by means of critical points
- Surface segmentation using geodesic centroidal tesselation
- Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation
- Segmentation and Recovery of Superquadrics
- Algebraic connectivity of graphs
- Triangulating a simple polygon in linear time
- Shape decomposition based on erosion model
- New Methods for Spectral Clustering.
- Image segmentation techniques for object-based coding
- Approximate medial axis as a voronoi subcomplex
- A review on image segmentation techniques
- The largest convex patches: A boundary-based method for obtaining object parts
- Easy Mesh Cutting
- Metamorphosis of Polyhedral Surfaces using Decomposition
- Hierarchical face clustering on polygonal surfaces
- Skeleton extraction by mesh contraction
- Consistent mesh partitioning and skeletonisation using the shape diameter function
- A global geometric framework for nonlinear dimensionality reduction.
- Accurate computation of the medial axis of a polyhedron
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