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dc.contributor.authorPatel, Sayjel V.
dc.contributor.authorTam, Kam-Ming
dc.contributor.authorMueller, Caitlin T
dc.date.accessioned2022-04-14T15:45:24Z
dc.date.available2021-11-09T18:46:22Z
dc.date.available2022-04-14T15:45:24Z
dc.date.issued2016-06
dc.identifier.urihttps://hdl.handle.net/1721.1/138024.2
dc.language.isoen
dc.publisherSpringer International Publishingen_US
dc.relation.isversionof10.1007/978-3-319-44989-0_26en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcewebsiteen_US
dc.title3DJ: An Analytical and Generative Design System for Synthesizing High-Performance Textures from 3D Scansen_US
dc.typeArticleen_US
dc.identifier.citationPatel, Sayjel V., Tam, Kam-Ming and Mueller, Caitlin T. 2016. "3DJ: An Analytical and Generative Design System for Synthesizing High-Performance Textures from 3D Scans."en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Architectureen_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
dc.date.updated2019-08-05T16:22:03Z
dspace.date.submission2019-08-05T16:22:04Z
mit.metadata.statusPublication Information Neededen_US


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