Fast and simple automatic alignment of large sets of range maps (Articolo in rivista)

Type
Label
  • Fast and simple automatic alignment of large sets of range maps (Articolo in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.cag.2014.12.002 (literal)
Alternative label
  • Pingi P., Corsini M., Ganovelli F., Scopigno R. (2014)
    Fast and simple automatic alignment of large sets of range maps
    in Computers & graphics
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Pingi P., Corsini M., Ganovelli F., Scopigno R. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Grant agreement: 323567 Tipo Progetto: EU_FP7 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.sciencedirect.com/science/article/pii/S0097849314001447 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 12 (literal)
Rivista
Note
  • PuMa (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy. (literal)
Titolo
  • Fast and simple automatic alignment of large sets of range maps (literal)
Abstract
  • We present a very fast and simple-to-implement algorithm for the automatic registration of a large number of range maps. The proposed algorithm exploits a compact and GPU-friendly descriptor specifically designed for the alignment of this type of data. This pairwise registration algorithm, which also includes a simple mechanism to avoid to get false positives, is part of a system capable to align a sequence of up to hundreds of range maps in few minutes. In order to reduce the number of pairs to align in the case of unordered range maps we use a prioritization strategy based on the fast computation of the correlation between range maps through FFT. The proposed system does not need any user input and it was tested successfully on a large variety of datasets coming from real acquisition campaigns. (literal)
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