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dc.contributor.authorWang, Haiping
dc.contributor.authorZang, Yufu
dc.contributor.authorLiang, Fuxun
dc.contributor.authorDong, Zheng
dc.contributor.authorFan, Hongchao
dc.contributor.authorYang, Bisheng
dc.date.accessioned2021-10-25T10:54:50Z
dc.date.available2021-10-25T10:54:50Z
dc.date.created2021-01-26T13:58:32Z
dc.date.issued2021
dc.identifier.citationACM Journal on Computing and Cultural Heritage. 2021, 14 (1), 1-25.en_US
dc.identifier.issn1556-4673
dc.identifier.urihttps://hdl.handle.net/11250/2825303
dc.description.abstractMasses of fragile cultural relics are dug out in fragments due to long-standing burying and their fragility, which must be reassembled to play a role in cultural heritage study. However, it is very challenging to automatically reassemble a large collection of fragments of unknown geometric shapes. In this article, a novel probabilistic method for fractured cultural relics automatic reassembly is proposed to solve the problem in terms of good accuracy, efficiency, and robustness. First, a set of matching units are detected and described by the 2D Link-Chain Descriptors (LCD) and the 3D Spatial-Distribution Descriptors (SDD). Second, the pairwise reassembly probability is calculated by combining the similarities of LCD and SDD descriptors, then the collision detection is conducted to eliminate the incorrect overlapping pairs. Finally, a global optimal reassembly solution is obtained by iterative graph optimization with the constrains of the loop-closures and overlap restrictions. Comprehensive experiments with eight challenging datasets demonstrate that the proposed method achieved good performance in terms of minor reassembly errors, efficiency and robustness to noise, varying point density and completeness.en_US
dc.language.isoengen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.titleA Probabilistic Method for Fractured Cultural Relics Automatic Reassemblyen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderThe published version of the article will not be available due to copyright restrictions by Association for Computing Machinery (ACM)en_US
dc.source.pagenumber1-25en_US
dc.source.volume14en_US
dc.source.journalACM Journal on Computing and Cultural Heritageen_US
dc.source.issue1en_US
dc.identifier.doi10.1145/3417711
dc.identifier.cristin1879625
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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