SHREC 2023: Detection of Symmetries on 3D Point Clouds Representing Simple Shapes

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dc.contributor.authorSipiran, Ivanen_US
dc.contributor.authorRomanengo, Chiaraen_US
dc.contributor.authorFalcidieno, Biancaen_US
dc.contributor.authorBiasotti, Silviaen_US
dc.contributor.authorArvanitis, Gerasimosen_US
dc.contributor.authorChen, Chenen_US
dc.contributor.authorFotis, Vlassisen_US
dc.contributor.authorHe, Jianfangen_US
dc.contributor.authorLv, Xiaolingen_US
dc.contributor.authorMoustakas, Konstantinosen_US
dc.contributor.authorPeng, Silongen_US
dc.contributor.authorRomanelis, Ioannisen_US
dc.contributor.authorSun, Wenhaoen_US
dc.contributor.authorVlachos, Christoforosen_US
dc.contributor.authorWu, Ziyuen_US
dc.contributor.authorXie, Qiongen_US
dc.contributor.editorFugacci, Uldericoen_US
dc.contributor.editorLavoué, Guillaumeen_US
dc.contributor.editorVeltkamp, Remco C.en_US
dc.date.accessioned2023-08-30T05:51:33Z
dc.date.available2023-08-30T05:51:33Z
dc.date.issued2023
dc.description.abstractThis paper presents the methods that participated in the SHREC 2023 track focused on detecting symmetries on 3D point clouds representing simple shapes. By simple shapes, we mean surfaces generated by different types of closed plane curves used as the directrix of a cylinder or a cone. This track aims to determine the reflective planes for each point cloud. The methods are evaluated in their capability of detecting the right number of symmetries and correctly identifying the reflective planes. To this end, we generated a dataset that contains point clouds representing simple shapes perturbed with different kinds of artefacts (such as noise and undersampling) to provide a thorough evaluation of the robustness of the algorithms.en_US
dc.description.sectionheadersShort Papers
dc.description.seriesinformationEurographics Workshop on 3D Object Retrieval
dc.identifier.doi10.2312/3dor.20231148
dc.identifier.isbn978-3-03868-213-4
dc.identifier.issn1997-0471
dc.identifier.pages1-8
dc.identifier.pages8 pages
dc.identifier.urihttps://doi.org/10.2312/3dor.20231148
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/3dor20231148
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Shape analysis; Point-based models
dc.subjectComputing methodologies → Shape analysis
dc.subjectPoint based models
dc.titleSHREC 2023: Detection of Symmetries on 3D Point Clouds Representing Simple Shapesen_US
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