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dc.contributor.advisorStefanie Mueller.en_US
dc.contributor.authorDoğan, Mustafa Doğa.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2020-09-15T21:52:55Z
dc.date.available2020-09-15T21:52:55Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/127337
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020en_US
dc.descriptionCataloged from the official PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 42-45).en_US
dc.description.abstractIn this thesis, we propose a method for identifying 3D prints using slicing parameters. Called "GID," the method utilizes the subtle patterns left by the 3D printing process to identify objects. The key idea is to mark different instances of a 3D model by varying slicing parameters that do not change the model geometry but can be detected as machine-readable differences in the print. As a result, G-ID does not add anything to the object but exploits the unobtrusive textures resulting as a byproduct of slicing, an essential step of the 3D printing pipeline. We introduce the G-ID slicing & labeling user interface that varies the settings for each instance, and the G-ID mobile application, which uses image processing techniques to retrieve the parameters and their associated labels from a photo of the 3D printed object. We also evaluate our method's accuracy under different lighting conditions, with objects printed using different filaments and printers, and with pictures taken from various positions and angles.en_US
dc.description.statementofresponsibilityby Mustafa Doğa Doğan.en_US
dc.format.extent45 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleIdentifying 3D prints using slicing parametersen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1192472983en_US
dc.description.collectionS.M. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2020-09-15T21:52:54Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentEECSen_US


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