http://www.cnr.it/ontology/cnr/individuo/prodotto/ID85292
Shape comparison through mutual distances of real functions (Contributo in atti di convegno)
- Type
- Label
- Shape comparison through mutual distances of real functions (Contributo in atti di convegno) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1145/1877808.1877816 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- Proceedings of the ACM Multimedia 2010 International Conference and co-located workshops. Firenze, 25-29 October 2010, Association for Computing Machinery, ISBN/ISSN: 978-1-60558-933-6 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- 3DOR'10 - ACM MM'10 & co-located Workshop: Proceedings of the ACM Multimedia 2010 International Conference (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- Proceedings of the ACM Multimedia 2010 International Conference and co-located workshops. Firenze, 25-29 October 2010, Association for Computing Machinery, ISBN/ISSN: 978-1-60558-933-6 (literal)
- Note
- ACM DL (literal)
- Google Scholar (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Istituto di Matematica Applicata e Tecnologie Informatiche, Consiglio Nazionale delle Ricerche (literal)
- Titolo
- Shape comparison through mutual distances of real functions (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-1-4503-0160-2 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autoriVolume
- Abstract
- Spectral analysis provides a library of shape description elements intrinsically defined by the shape itself. Among all, the eigenfunctions of the Laplace-Beltrami operator can be thought as a set of real valued functions that implicitly abstract and code the shape. In this scenario, this paper introduces a new shape signature derived from the mutual distances between couples of Laplace-Beltrami eigenfunctions. This signature can be seen as a feature vector that acts as an intrinsic shape pattern. Experiments show that it can be effectively used for shape retrieval and its robustness with respect to changes in topology, model resampling, small perturbations and pose variations (literal)
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