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dc.contributor.authorShamir, Ariel
dc.contributor.authorSchulz, Adriana
dc.contributor.authorLevin, David
dc.contributor.authorSitthi-Amorn, Pitchaya
dc.contributor.authorMatusik, Wojciech
dc.date.accessioned2017-08-31T18:01:32Z
dc.date.available2017-08-31T18:01:32Z
dc.date.issued2014-07
dc.identifier.issn0730-0301
dc.identifier.urihttp://hdl.handle.net/1721.1/111080
dc.description.abstractWe propose a data-driven method for designing 3D models that can be fabricated. First, our approach converts a collection of expert-created designs to a dataset of parameterized design templates that includes all information necessary for fabrication. The templates are then used in an interactive design system to create new fabri-cable models in a design-by-example manner. A simple interface allows novice users to choose template parts from the database, change their parameters, and combine them to create new models. Using the information in the template database, the system can automatically position, align, and connect parts: the system accomplishes this by adjusting parameters, adding appropriate constraints, and assigning connectors. This process ensures that the created models can be fabricated, saves the user from many tedious but necessary tasks, and makes it possible for non-experts to design and create actual physical objects. To demonstrate our data-driven method, we present several examples of complex functional objects that we designed and manufactured using our system.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant 1138967)en_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2601097.2601127en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT Web Domainen_US
dc.titleDesign and fabrication by exampleen_US
dc.typeArticleen_US
dc.identifier.citationSchulz, Adriana et al. “Design and Fabrication by Example.” ACM Transactions on Graphics 33, 4 (July 2014): 1–11 © 2014 Association for Computing Machinery (ACM)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.mitauthorSchulz, Adriana
dc.contributor.mitauthorLevin, David
dc.contributor.mitauthorSitthi-Amorn, Pitchaya
dc.contributor.mitauthorMatusik, Wojciech
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.orderedauthorsSchulz, Adriana; Shamir, Ariel; Levin, David I. W.; Sitthi-amorn, Pitchaya; Matusik, Wojciechen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-4152-8453
dc.identifier.orcidhttps://orcid.org/0000-0003-0212-5643
mit.licenseOPEN_ACCESS_POLICYen_US


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