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dc.contributor.authorvan Blokland, Bart Iver
dc.contributor.authorTheoharis, Theoharis
dc.date.accessioned2021-10-28T08:37:21Z
dc.date.available2021-10-28T08:37:21Z
dc.date.created2021-08-13T01:05:03Z
dc.date.issued2021
dc.identifier.citationComputers & graphics. 2021, 100 32-42.en_US
dc.identifier.issn0097-8493
dc.identifier.urihttps://hdl.handle.net/11250/2826194
dc.description.abstractA complete pipeline is presented for accurate and efficient partial 3D object retrieval based on Quick Intersection Count Change Image (QUICCI) binary local descriptors and a novel indexing tree. It is shown how a modification to the QUICCI query descriptor makes it ideal for partial retrieval. An indexing structure called Dissimilarity Tree is proposed which can significantly accelerate searching the large space of local descriptors; this is applicable to QUICCI and other binary descriptors. The index exploits the distribution of bits within descriptors for efficient retrieval. The retrieval pipeline is tested on the artificial part of SHREC’16 dataset with near-ideal retrieval results.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titlePartial 3D object retrieval using local binary QUICCI descriptors and dissimilarity tree indexingen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber32-42en_US
dc.source.volume100en_US
dc.source.journalComputers & graphicsen_US
dc.identifier.doi10.1016/j.cag.2021.07.018
dc.identifier.cristin1925724
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal