Microshapes: Efficient Querying of 3D Object Collections based on Local Shape

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dc.contributor.authorBlokland, Bart Iver vanen_US
dc.contributor.authorTheoharis, Theoharisen_US
dc.contributor.editorTelea, Alex and Theoharis, Theoharis and Veltkamp, Remcoen_US
dc.date.accessioned2018-04-14T18:28:38Z
dc.date.available2018-04-14T18:28:38Z
dc.date.issued2018
dc.description.abstractContent-based querying of 3D object collections has the intrinsic difficulty of creating the query object and previous approaches have concentrated in producing global simplifications such as sketches. In contrast, in this paper, the concept of querying 3D object collections based on local shape is introduced. Microshapes are very promising in terms of generality and applicability and is based on a variation of the spin image descriptor. This descriptor uses intersection counts to determine the presence of boundaries in the support volume. These boundaries can be used to recognise local shape similarity. Queries based on this descriptor are general, easy to specify and robust to geometric clutter.en_US
dc.description.sectionheadersPapers I
dc.description.seriesinformationEurographics Workshop on 3D Object Retrieval
dc.identifier.doi10.2312/3dor.20181047
dc.identifier.isbn978-3-03868-053-6
dc.identifier.issn1997-0471
dc.identifier.pages9-16
dc.identifier.urihttps://doi.org/10.2312/3dor.20181047
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/3dor20181047
dc.publisherThe Eurographics Associationen_US
dc.titleMicroshapes: Efficient Querying of 3D Object Collections based on Local Shapeen_US
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