Adaptive point-cloud surface interpretation
We present a novel adaptive radial basis function network to reconstruct smooth closed surfaces and complete meshes from nonuniformly sampled noisy range data. The network is established using a heuristic learning strategy. Neurons can be inserted, removed or updated iteratively, adapting to the com...
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| Main Authors: | , , |
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| Format: | Default Conference proceeding |
| Published: |
2006
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/20291 |
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