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dc.contributor.authorLuo, Linjie
dc.contributor.authorBaran, Ilya
dc.contributor.authorRusinkiewicz, Szymon
dc.contributor.authorMatusik, Wojciech
dc.date.accessioned2014-09-26T14:36:01Z
dc.date.available2014-09-26T14:36:01Z
dc.date.issued2012-11
dc.identifier.issn07300301
dc.identifier.urihttp://hdl.handle.net/1721.1/90389
dc.description.abstract3D printing technology is rapidly maturing and becoming ubiquitous. One of the remaining obstacles to wide-scale adoption is that the object to be printed must fit into the working volume of the 3D printer. We propose a framework, called Chopper, to decompose a large 3D object into smaller parts so that each part fits into the printing volume. These parts can then be assembled to form the original object. We formulate a number of desirable criteria for the partition, including assemblability, having few components, unobtrusiveness of the seams, and structural soundness. Chopper optimizes these criteria and generates a partition either automatically or with user guidance. Our prototype outputs the final decomposed parts with customized connectors on the interfaces. We demonstrate the effectiveness of Chopper on a variety of non-trivial real-world objects.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant CCF-1012147)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant IIS-1116296)en_US
dc.description.sponsorshipIntel Corporation (Science and Technology Center for Visual Computing)en_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2366145.2366148en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceOther univ. web domainen_US
dc.titleChopper: Partitioning models into 3D-printable partsen_US
dc.typeArticleen_US
dc.identifier.citationLinjie Luo, Ilya Baran, Szymon Rusinkiewicz, and Wojciech Matusik. 2012. Chopper: partitioning models into 3D-printable parts. ACM Trans. Graph. 31, 6, Article 129 (November 2012), 9 pages.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorMatusik, Wojciechen_US
dc.relation.journalACM Transactions on Graphicsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsLuo, Linjie; Baran, Ilya; Rusinkiewicz, Szymon; Matusik, Wojciechen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-0212-5643
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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