http://www.cnr.it/ontology/cnr/individuo/prodotto/ID31524
A lightweight approach to repairing digitized polygon meshes (Articolo in rivista)
- Type
- Label
- A lightweight approach to repairing digitized polygon meshes (Articolo in rivista) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/s00371-010-0416-3 (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://www.springerlink.com/content/gu60617183702501/ (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- Note
- Scopu (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- CNR/IMATI - Sezione di Genova (literal)
- Titolo
- A lightweight approach to repairing digitized polygon meshes (literal)
- Abstract
- When designing novel algorithms for geometric
processing and analysis, researchers often assume that the
input conforms to several requirements. On the other hand,
polygon meshes obtained from acquisition of real-world objects
typically exhibit several defects, and thus are not appropriate
for a widespread exploitation.
In this paper, an algorithm is presented that strives to
convert a low-quality digitized polygon mesh to a single
manifold and watertight triangle mesh without degenerate
or intersecting elements. Differently from most existing approaches
that globally resample the model to produce a fixed
version, the algorithm presented here attempts to modify the
input mesh only locally within the neighborhood of undesired
configurations.
After having converted the input to a single combinatorial
manifold, the algorithm proceeds iteratively by removing
growing neighborhoods of undesired elements and by patching
the resulting surface gaps until all the \"defects\" are removed.
Though this heuristic approach is not guaranteed to
converge, it was tested on more than 400 low-quality models
and always succeeded. Furthermore, with respect to similar
existing algorithms, it proved to be computationally efficient
and produced more accurate results while using fewer triangles. (literal)
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