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dc.contributor.authorCelis, Rubén de
dc.contributor.authorBarrena, Nagore
dc.contributor.authorSanchez, Jairo R.
dc.contributor.authorUgarte, Ramón J.
dc.contributor.editorSkala, Václav
dc.date.accessioned2018-05-18T06:24:28Z-
dc.date.available2018-05-18T06:24:28Z-
dc.date.issued2016
dc.identifier.citationWSCG '2016: short communications proceedings: The 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech RepublicMay 30 - June 3 2016, p. 33-40.en
dc.identifier.isbn978-80-86943-58-9
dc.identifier.issn2464-4617
dc.identifier.uriwscg.zcu.cz/WSCG2016/!!_CSRN-2602.pdf
dc.identifier.urihttp://hdl.handle.net/11025/29685
dc.description.abstractThis paper describes a method for registration and tracking of deformable objects from points clouds taken from depth cameras. Our method uses a reference model of the object in order to detect rigid and deformed regions in the input cloud. It is based on the fact that deformed objects normally have areas that are not affected by the deformations. These parts are found iteratively allowing to register the object using a chain of rigid transformations. Deformed regions are detected as those that do not satisfy rigidity constrains. Results show that correspondences of points belonging to both rigid and deformed regions can be accurately established with the reference model even in cluttered scenes.en
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.relation.ispartofseriesWSCG '2016: short communications proceedingsen
dc.rights© Václav Skala - UNION Agencycs
dc.subject3D sledovánícs
dc.subjectdeformovatelné rozpoznávání objektůcs
dc.subjecthloubková kameracs
dc.titleRegistration of deformable objects using a depth cameraen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translated3D trackingen
dc.subject.translateddeformable object recognitionen
dc.subject.translateddepth cameraen
dc.type.statusPeer-revieweden
Appears in Collections:WSCG '2016: Short Papers Proceedings

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