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dc.contributor.authorNicholson, Mylesen
dc.date2016-02-05 12:32:54.203
dc.date2016-02-05 14:19:33.289
dc.date.accessioned2016-02-05T19:57:51Z
dc.date.available2016-02-05T19:57:51Z
dc.date.issued2016-02-05
dc.identifier.urihttp://hdl.handle.net/1974/14017
dc.descriptionThesis (Master, Computing) -- Queen's University, 2016-02-05 14:19:33.289en
dc.description.abstract3D printers are becoming an ever-cheaper way to prototype or reproduce objects. There are difficulties that arise when attempting to reproduce very large objects with a 3D printer. Printers have a limited volume that they can print, or struggle to plan their process for very large 3D models. A solution to this problem is to segment the larger mesh into smaller parts that can be printed separately, then reassembled. In this thesis we describe various approaches to mesh segmentation and present an approach that efficiently segments very large 3D models so that they can be printed. Finally we show the results of our approach on 4 objects of increasing size and complexity.en
dc.language.isoengen
dc.relation.ispartofseriesCanadian thesesen
dc.rightsQueen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canadaen
dc.rightsProQuest PhD and Master's Theses International Dissemination Agreementen
dc.rightsIntellectual Property Guidelines at Queen's Universityen
dc.rightsCopying and Preserving Your Thesisen
dc.rightsCreative Commons - Attribution - CC BYen
dc.rightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.en
dc.rightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.en
dc.subjectMesh Segmentationen
dc.subject3d Printingen
dc.subjectComputational Geometryen
dc.titleQChopper - Segmentation of Large Surface Meshes for 3D Printingen
dc.typethesisen
dc.description.degreeM.Sc.en
dc.contributor.supervisorRappaport, Daviden
dc.contributor.departmentComputingen
dc.degree.grantorQueen's University at Kingstonen


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