Hierarchical Structure Recovery of Point-Sampled Surfaces (Articolo in rivista)

Type
Label
  • Hierarchical Structure Recovery of Point-Sampled Surfaces (Articolo in rivista) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1111/j.1467-8659.2010.01658.x (literal)
Alternative label
  • Attene Marco; Patané Giuseppe (2010)
    Hierarchical Structure Recovery of Point-Sampled Surfaces
    in Computer graphics forum (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Attene Marco; Patané Giuseppe (literal)
Pagina inizio
  • 1905 (literal)
Pagina fine
  • 1920 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2010.01658.x/abstract (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 29 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 6 (literal)
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Attene Marco - CNR/IMATI - genova Patané Giuseppe - CNR/IMATI - genova (literal)
Titolo
  • Hierarchical Structure Recovery of Point-Sampled Surfaces (literal)
Abstract
  • We focus on the class of 'regular' models defined by Varady et al. for reverse engineering purposes. Given a 3D surface M represented through a dense set of points, we present a novel algorithm that converts M to a hierarchical representation HM. In HM, the surface is encoded through patches of various shape and size, which form a hierarchical atlas. If M belongs to the class of regular models, then HM captures the most significant features of M at all the levels of detail. In this case, we show that HM can be exploited to interactively select regions of interest onMand intuitively re-design the model. Furthermore, HM intrinsically encodes a hierarchy of useful 'segmentations' of M. We present a simple though efficient approach to extract and optimize such segmentations, and we show how they can be used to approximate the input point sets through idealized manifold meshes. (literal)
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