http://www.cnr.it/ontology/cnr/individuo/prodotto/ID238830
Shape feature decomposition of regularized objects (Contributo in volume (capitolo o saggio))
- Type
- Label
- Shape feature decomposition of regularized objects (Contributo in volume (capitolo o saggio)) (literal)
- Anno
- 1992-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/978-4-431-68204-2_30 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Bianca Falcidieno and Franca Giannini (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://link.springer.com/chapter/10.1007/978-4-431-68204-2_30 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Visual computing-CG international series (literal)
- Note
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Istituto per la Matematica Applicata del CNR (literal)
- Titolo
- Shape feature decomposition of regularized objects (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-4-431-68206-6 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- Abstract
- This paper deals with the problem of shape feature identification from boundary representations of objects belonging to the r-set domain. Existing recognition systems usually apply to two manifold objects, while in our approach we consider also regularized non-manifold objects. The system performs a shape decomposition of an object into a union of simpler subparts: two-manifold components and concave/convex facesets. Such a decomposition does not depend on the sequence of operations used to build the object, it is unique, invariant under geometric transformations and its complexity is comparable with the complexity of the original description (literal)
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- Autore CNR
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