http://www.cnr.it/ontology/cnr/individuo/prodotto/ID170845

Exploiting the scanning sequence for automatic registration of large sets of range maps (Articolo in rivista)

Type

Articolo in rivista (Classe)
Prodotto della ricerca (Classe)

Label

Exploiting the scanning sequence for automatic registration of large sets of range maps (Articolo in rivista) (literal)

Anno

2005-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

10.1111/j.1467-8659.2005.00877.x (literal)

Alternative label

Pingi P., Fasano A., Cignoni P., Montani C., Scopigno R. (2005)
Exploiting the scanning sequence for automatic registration of large sets of range maps
in Computer graphics forum (Print); Blackwell Publishing, Oxford (Regno Unito)
(literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

Pingi P., Fasano A., Cignoni P., Montani C., Scopigno R. (literal)

Pagina inizio

517 (literal)

Pagina fine

526 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

24 (literal)

Rivista

Computer graphics forum (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note

Vol. 24 n. 3 (2005), Blackwell Publishing, 2005. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

10 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

3 (literal)

Note

ISI Web of Science (WOS) (literal)
Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

ISTI-CNR; ISTI-CNR; ISTI-CNR; ISTI-CNR; ISTI-CNR. (literal)

Titolo

Exploiting the scanning sequence for automatic registration of large sets of range maps (literal)

Abstract

Range map registration is still the most time consuming phase in the processing of 3D scanning data. This is because real scanning sets are composed of hundreds of range maps and their registration is still partially manual. We propose a new method to manage complex scan sets acquired by following a regular scanner pose pattern. Our goal is to define an initial adjacency graph by coarsely aligning couples of range maps that we know are partially overlapping thanks to the adopted scanning strategy. For a pair of partially overlapping range maps, our iterative solution locates pairs of correspondent vertices through the computation of a regular n×n kernel which takes into account vertex normals and is defined in the 2D space of the range map (represented in implicit 2D format rather than as a triangle mesh in 3D space). The shape-characterization kernel and the metrics defined give a sufficiently accurate shape matching, which has been proven to fit well the requirements of automatic registration. This initial set of adjacency arcs can then be augmented by the automatic identification of the other significant arcs, by adopting a criterion based on approximate range map overlap computation. With respect to the solutions present in literature, the simplifications and assumptions adopted make our solution specifically oriented to complex 3D scanning campaigns (hundreds of range maps). The proposed method can coarsely register range maps in parallel with the acquisition activity and this is a valuable help in assessing on site the completeness of the sampling of large objects. (literal)

Editore