http://www.cnr.it/ontology/cnr/individuo/prodotto/ID181600
SIMS: a multi-level approach to surface reconstruction with sparse implicits (Contributo in atti di convegno)
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- Label
- SIMS: a multi-level approach to surface reconstruction with sparse implicits (Contributo in atti di convegno) (literal)
- Anno
- 2006-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/SMI.2006.37 (literal)
- Alternative label
Giuseppe Patane' (2006)
SIMS: a multi-level approach to surface reconstruction with sparse implicits
in IEEE International Conference on Shape Modeling and Applications, 2006. SMI 2006, Matsushima, Japan, 14-16 June 2006
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Giuseppe Patane' (literal)
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- http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=34210&arnumber=1631211&count=42&index=29 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- IEEE International Conference on Shape Modeling and Applications, 2006. SMI 2006 (literal)
- Note
- ISI Web of Science (WOS) (literal)
- Scopu (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- IMATI-CNR, Genova-Italy (literal)
- Titolo
- SIMS: a multi-level approach to surface reconstruction with sparse implicits (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- Michela Spagnuolo; Alexander Belyaev; Hiromasa Suzuki (literal)
- Abstract
- 3D shape approximation and processing with implicitly defined surface primitives (Radial Basis Functions and more general kernel-based approximations, Partition of Unity approximations,Moving Least Squares, etc.) are currently a subject of intensive research in Geometric Modeling and Computer Graphics. In this paper, we propose an approach that combines two conflicting criteria: achieving a high approximation accuracy and obtaining an economical surface representation. We employ compactlysupported Radial Basis Functions and use Tikhonov Regularization to achieve a near optimal selection of their centers. An iterative approach, which defines a multi-level approximation, is used to cope with arising constrained optimization problems. (literal)
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