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ICCV
2009
IEEE
16 years 2 months ago
Dimensionality Reduction and Principal Surfaces via Kernel Map Manifolds
We present a manifold learning approach to dimensionality reduction that explicitly models the manifold as a mapping from low to high dimensional space. The manifold is represen...
Samuel Gerber, Tolga Tasdizen, Ross Whitaker
VISUALIZATION
2002
IEEE
15 years 2 months ago
Fast Visualization of Plane-Like Structures in Voxel Data
We present a robust, noise-resistant criterion characterizing planelike skeletons in binary voxel objects. It is based on a distance map and the geodesic distance along the object...
Steffen Prohaska, Hans-Christian Hege
SMA
2003
ACM
163views Solid Modeling» more  SMA 2003»
15 years 3 months ago
Fast swept volume approximation of complex polyhedral models
We present an efficient algorithm to approximate the swept volume (SV) of a complex polyhedron along a given trajectory. Given the boundary description of the polyhedron and a pat...
Young J. Kim, Gokul Varadhan, Ming C. Lin, Dinesh ...
PR
2007
141views more  PR 2007»
14 years 9 months ago
A Riemannian approach to graph embedding
In this paper, we make use of the relationship between the Laplace–Beltrami operator and the graph Laplacian, for the purposes of embedding a graph onto a Riemannian manifold. T...
Antonio Robles-Kelly, Edwin R. Hancock
TCOS
2010
14 years 8 months ago
Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space
We present a general framework for computing two-dimensional Voronoi diagrams of different classes of sites under various distance functions. Most diagrams mentioned in the paper ...
Ophir Setter, Micha Sharir, Dan Halperin