SIMS: a multi-level approach to surface reconstruction with sparse implicits (Contributo in atti di convegno)

Type
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)
Pagina inizio
  • 33-1 (literal)
Pagina fine
  • 33-12 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • 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
  • 0-7695-2591-1 (literal)
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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