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dc.contributor.authorRodrigues, Rui S. V.en_US
dc.contributor.authorMorgado, José F. M.en_US
dc.contributor.authorGomes, Abel J. P.en_US
dc.contributor.editorChen, Min and Benes, Bedrichen_US
dc.date.accessioned2018-08-29T06:56:04Z
dc.date.available2018-08-29T06:56:04Z
dc.date.issued2018
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.13323
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13323
dc.description.abstractThis paper surveys mesh segmentation techniques and algorithms, with a focus on part‐based segmentation, that is, segmentation that divides a mesh (featuring a 3D object) into meaningful parts. Part‐based segmentation applies to a single object and also to a family of objects (i.e. co‐segmentation). However, we shall not address here chart‐based segmentation, though some mesh co‐segmentation methods employ such chart‐based segmentation in the initial step of their pipeline. Finally, the taxonomy proposed in this paper is new in the sense that one classifies each segmentation algorithm regarding the dimension (i.e. 1D, 2D and 3D) of the representation of object parts. The leading idea behind this survey is to identify the properties and limitations of the state‐of‐the‐art algorithms to shed light on the challenges for future work.This paper surveys mesh segmentation techniques and algorithms, with a focus on part‐based segmentation, that is, segmentation that divides a mesh (featuring a 3D object) into meaningful parts. Part‐based segmentation applies to a single object and also to a family of objects (i.e. co‐segmentation). However, we shall not address here chart‐based segmentation, though some mesh co‐segmentation methods employ such chart‐based segmentation in the initial step of their pipeline. Finally, the taxonomy proposed in this paper is new in the sense that one classifies each segmentation algorithm regarding the dimension (i.e. 1D, 2D and 3D) of the representation of object parts. The leading idea behind this survey is to identify the properties and limitations of the state‐of‐the‐art algorithms to shed light on the challenges for future work.en_US
dc.publisher© 2018 The Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectmesh generation
dc.subjectmodelling
dc.subject3d shape matching
dc.subjectmodelling
dc.subjectdigital geometry processing
dc.subjectmodelling
dc.subjectI.3.5 [Computer Graphics]: Computational Geometry and Object Modelling—Mesh segmentation
dc.titlePart‐Based Mesh Segmentation: A Surveyen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersArticles
dc.description.volume37
dc.description.number6
dc.identifier.doi10.1111/cgf.13323
dc.identifier.pages235-274
dc.description.documenttypestar


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