A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts

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dc.contributor.authorLu, Jiaxinen_US
dc.contributor.authorLiang, Yongqingen_US
dc.contributor.authorHan, Hunjunen_US
dc.contributor.authorHua, Jiachengen_US
dc.contributor.authorJiang, Junfengen_US
dc.contributor.authorLi, Xinen_US
dc.contributor.authorHuang, Qixingen_US
dc.contributor.editorMemari, Pooranen_US
dc.contributor.editorGryaditskaya, Yuliaen_US
dc.date.accessioned2025-05-09T09:40:18Z
dc.date.available2025-05-09T09:40:18Z
dc.date.issued2025
dc.description.abstractReconstructing a complete object from its parts is a fundamental problem in many scientific domains. The purpose of this article is to provide a systematic survey on this topic. This reassembly problem requires understanding the attributes of individual pieces and establishing matches between different pieces. Many approaches also model priors of the underlying complete object. Existing approaches are tightly connected problems of shape segmentation, shape matching, and learning shape priors. We provide existing algorithms in this context and emphasize their similarities and differences to general-purpose approaches. We also survey the trends from early procedural approaches to more recent deep learning approaches. In addition to algorithms, this survey will also describe existing datasets, open-source software packages, and applications. To the best of our knowledge, this is the first comprehensive survey on this topic in computer graphics.en_US
dc.description.documenttypestar
dc.description.number2
dc.description.sectionheadersState of the Art Reports
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume44
dc.identifier.doi10.1111/cgf.70081
dc.identifier.issn1467-8659
dc.identifier.pages32 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.70081
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf70081
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectCCS Concepts: Computing methodologies->Shape analysis
dc.subjectComputing methodologies
dc.subjectShape analysis
dc.titleA Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Partsen_US
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