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dc.contributor.authorKrajíček, Václav
dc.contributor.authorDupej, Ján
dc.contributor.authorVelemínská, Jana
dc.contributor.authorPelikán, Josef
dc.contributor.editorSkala, Václav
dc.date.accessioned2013-02-01T11:23:29Z
dc.date.available2013-02-01T11:23:29Z
dc.date.issued2012
dc.identifier.citationJournal of WSCG. 2012, vol. 20, no. 1, p. 65-72.en
dc.identifier.issn1213-6972 (hardcopy)
dc.identifier.issn1213–6980 (CD-ROM)
dc.identifier.issn1213–6964 (on-line)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2012/!_2012-Journal-Full-1.pdf
dc.identifier.urihttp://hdl.handle.net/11025/1062
dc.description.abstractNew techniques of capturing shape geometry for the purpose of studying asymmetry in biological objects bring the need to develop new methods of analyzing such data. In this paper we propose a method of mesh asymmetry analysis and decomposition intended for use in geometric morphometry. In geometric morphometry the individual bilateral asymmetry is captured by aligning a specimen with its mirror image and analyzing the difference. This involves the construction of a dense correspondence mapping between the meshes. We tested our algorithm on real data consisting of a sample of 102 human faces as well as on artificially altered meshes to successfully prove its validity. The resulting algorithm is an important methodological improvement which has a potential to be widely used in a wide variety of morphological studies.en
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectasymetrie síťovinycs
dc.subjectgeometrická morfometriecs
dc.subjectmorfometrická analýzacs
dc.titleMorphometric analysis of mesh asymmetryen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedmesh asymmetryen
dc.subject.translatedgeometric morphometryen
dc.subject.translatedmorphometric analysisen
dc.type.statusPeer-revieweden
Appears in Collections:Number 1 (2012)

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