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» Using Growing Cell Structures for Surface Reconstruction
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SMI
2003
IEEE
9 years 9 months ago
Using Growing Cell Structures for Surface Reconstruction
We study the use of neural network algorithms in surface reconstruction from an unorganized point cloud, and meshing of an implicit surface. We found that for such applications, t...
Ioannis P. Ivrissimtzis, Won-Ki Jeong, Hans-Peter ...
CVRMED
1997
Springer
9 years 8 months ago
Medical image segmentation using topologically adaptable surfaces
E cient and powerful topologically adaptable deformable surfaces can be created by embedding and de ning discrete deformable surface models in terms of an A ne Cell Decomposition (...
Tim McInerney, Demetri Terzopoulos
CGF
2002
135views more  CGF 2002»
9 years 3 months ago
Slow Growing Subdivision (SGS) in Any Dimension: Towards Removing the Curse of Dimensionality
In recent years subdivision methods have been one of the most successful techniques applied to the multi-resolution representation and visualization of surface meshes. Extension t...
Valerio Pascucci
CVPR
2007
IEEE
10 years 6 months ago
A Surface-Growing Approach to Multi-View Stereo Reconstruction
We present a new approach to reconstruct the shape of a 3D object or scene from a set of calibrated images. The central idea of our method is to combine the topological flexibilit...
Martin Habbecke, Leif Kobbelt
KES
2000
Springer
9 years 7 months ago
Hierarchical growing cell structures: TreeGCS
We propose a hierarchical, unsupervised clustering algorithm (TreeGCS) based upon the Growing Cell Structure (GCS) neural network of Fritzke. Our algorithm improves an inconsisten...
Victoria J. Hodge, James Austin
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