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dc.contributor.authorIzatt, Gregory R.
dc.contributor.authorTedrake, Russell L
dc.date.accessioned2021-11-08T16:59:36Z
dc.date.available2021-11-08T11:56:09Z
dc.date.available2021-11-08T16:59:36Z
dc.date.issued2017-12
dc.identifier.urihttps://hdl.handle.net/1721.1/137626.2
dc.language.isoen
dc.publisherSpringer International Publishingen_US
dc.relation.isversionof10.1007/978-3-030-28619-4_49en_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.titleGlobally Optimal Object Pose Estimation in Point Clouds with Mixed-Integer Programmingen_US
dc.typeArticleen_US
dc.identifier.citationIzatt, Gregory and Tedrake, Russ. 2017. "Globally Optimal Object Pose Estimation in Point Clouds with Mixed-Integer Programming." 10.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.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.updated2021-01-27T18:18:05Z
dspace.orderedauthorsIzatt, G; Dai, H; Tedrake, Ren_US
dspace.date.submission2021-01-27T18:18:08Z
mit.journal.volume10en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusPublication Information Neededen_US


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