Biological shape analysis by digital curvature

Página do item simplificado
dc.contributor.authorCosta, L. D.
dc.contributor.authordos Reis, S. F.
dc.contributor.authorArantes, RAT
dc.contributor.authorAlves, ACR
dc.contributor.authorMutinari, G. C.
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-02-26T17:17:36Z
dc.date.accessioned2014-05-20T13:59:05Z
dc.date.available2014-02-26T17:17:36Z
dc.date.available2014-05-20T13:59:05Z
dc.date.issued2004-03-01
dc.description.abstractThis paper reports the novel application of digital curvature as a feature for morphological characterization and classification of landmark shapes. By inheriting several unique features of the continuous curvature, the digital curvature provides invariance to translations, rotations, local shape deformations, and is easily made tolerant to scaling. In addition, the bending energy, a global shape feature, can be directly estimated from the curvature values. The application of these features to analyse patterns of cranial morphological geographic differentiation in the rodent species Thrichomys apereoides has led to encouraging results, indicating a close correspondence between the geographical and morphological distributions. (C) 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.en
dc.description.affiliationUniv São Paulo, IFSC, Inst Phys Sao Carlos, Cybernet Vis Res Grp, BR-13560970 Sao Carlos, SP, Brazil
dc.description.affiliationUniv Estadual Campinas, Dept Parasitol, BR-13083970 Campinas, SP, Brazil
dc.description.affiliationUniv Estadual Paulista, Programa Pos Grad Zool, BR-13500000 Rio Claro, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Programa Pos Grad Zool, BR-13500000 Rio Claro, SP, Brazil
dc.format.extent515-524
dc.identifierhttp://dx.doi.org/10.1016/j.patcog.2003.07.010
dc.identifier.citationPattern Recognition. Oxford: Pergamon-Elsevier B.V., v. 37, n. 3, p. 515-524, 2004.
dc.identifier.doi10.1016/j.patcog.2003.07.010
dc.identifier.issn0031-3203
dc.identifier.urihttp://hdl.handle.net/11449/20994
dc.identifier.wosWOS:000188536200011
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofPattern Recognition
dc.relation.ispartofjcr3.962
dc.relation.ispartofsjr1,065
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectshape analysispt
dc.subjectdigital curvaturept
dc.subjectmorphological and geographic distributionspt
dc.subjectmorphometric analysispt
dc.subjectmorphological landmarkpt
dc.titleBiological shape analysis by digital curvatureen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Biociências, Rio Claropt

Arquivos

Licença do Pacote
Agora exibindo 1 - 1 de 1
Nenhuma Miniatura disponível
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição:

Coleções

Artigos - Zoologia - IBRC