3D Point Set Registration based on Hierarchical Descriptors

dc.contributor.authorDutta, Somnath
dc.contributor.authorRussig, Benjamin
dc.contributor.authorGumhold, Stefan
dc.contributor.editorSkala, Václav
dc.date.accessioned2022-08-29T10:20:44Z
dc.date.available2022-08-29T10:20:44Z
dc.date.issued2022
dc.description.abstract-translatedRegistering partial point clouds is crucial in numerous applications in the field of robotics, vision, and graphics. For arbitrary configurations, the registration problem requires an initial global alignment, which is computationally expensive and often still requires refinement. In this paper, we propose a pair-wise global registration method that combines the fast convergence made possible by global hierarchical surface descriptors with the arbitrarily fine sampling enabled by continuous surface representations. Registration is performed by matching descriptors of increasing resolution – which the continuous surfaces allow us to choose arbitrarily high – while restricting the search space according to the hierarchy. We evaluated our method on a large set of pair-wise registration problems, demonstrating very competitive registration accuracy that often makes subsequent refinement with a local method unnecessary.en
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationJournal of WSCG. 2022, vol. 30, no. 1-2, p. 44-53.en
dc.identifier.doihttps://www.doi.org/10.24132/JWSCG.2022.6
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.urihttp://hdl.handle.net/11025/49393
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.rights.accessopenAccessen
dc.subjectregistrace 3D tvarucs
dc.subjectpovrchové deskriptorycs
dc.subjectmíra podobnostics
dc.subject.translated3D shape registrationen
dc.subject.translatedsurface descriptoren
dc.subject.translatedsimilarity measureen
dc.title3D Point Set Registration based on Hierarchical Descriptorsen
dc.typečlánekcs
dc.typearticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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