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dc.contributor.authorAbelha Ferreira, Paulo
dc.contributor.authorGuerin, Frank
dc.contributor.authorSchoeler, Markus
dc.date.accessioned2017-01-25T12:28:29Z
dc.date.available2017-01-25T12:28:29Z
dc.date.issued2016
dc.identifier.citationAbelha Ferreira , P , Guerin , F & Schoeler , M 2016 , A Model-Based Approach to Finding Substitute Tools in 3D Vision Data . in 2016 IEEE International Conference on Robotics and Automation (ICRA 2016) . IEEE Press . https://doi.org/10.1109/ICRA.2016.7487400en
dc.identifier.isbn9781467380270
dc.identifier.otherPURE: 70686164
dc.identifier.otherPURE UUID: a2fa1250-a0ed-40ef-aea2-60cc14decd15
dc.identifier.otherScopus: 84977599763
dc.identifier.otherORCID: /0000-0003-1918-6311/work/64219163
dc.identifier.urihttp://hdl.handle.net/2164/8062
dc.descriptionPaulo Abelha is supported by the Brazilian agency CAPES through the program Science without Borders. Thanks to the University of Aberdeen’s ABVenture Zone for equipment use. We got a lot of very helpful advice and assistance from the following people: Severin Fichtl, Dirk Kraft, Norbert Kruger, Karthik Varadarajan, Markus Vincze, Florentin ¨ Worg ¨ otter.en
dc.language.isoeng
dc.publisherIEEE Press
dc.relation.ispartof2016 IEEE International Conference on Robotics and Automation (ICRA 2016)en
dc.rights© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectthree-dimensional (3-D) displaysen
dc.subjectshapeen
dc.subjectdata modelsen
dc.subjectrobotsen
dc.subjectcomputational modelingen
dc.subjectsolid modelingen
dc.subjectnumerical modelsen
dc.subjectT Technologyen
dc.subject.lccTen
dc.titleA Model-Based Approach to Finding Substitute Tools in 3D Vision Dataen
dc.typeConference itemen
dc.contributor.institutionUniversity of Aberdeen.Natural & Computing Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1109/ICRA.2016.7487400


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