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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp019306t204j
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dc.contributor.advisorRusinkiewicz, Szymon-
dc.contributor.authorMelesse, Michael-
dc.date.accessioned2018-08-14T16:25:18Z-
dc.date.available2018-08-14T16:25:18Z-
dc.date.created2018-05-15-
dc.date.issued2018-08-14-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp019306t204j-
dc.description.abstractNeural Networks have been successful in tackling problems in computer vision especially over the last few years. Starting with image recognition neural networks, have gone on to produce comparable if not better results in other areas of computer vision such as Image Segmentation and Object Localization. Here we will see an approach in which neural networks can be adapted to deal with another area of computer vision, 3D Reconstruction.en_US
dc.format.mimetypeapplication/pdf-
dc.language.isoenen_US
dc.title3D Reconstruction with Neural Networks.en_US
dc.typePrinceton University Senior Theses-
pu.date.classyear2018en_US
pu.departmentComputer Scienceen_US
pu.pdf.coverpageSeniorThesisCoverPage-
pu.contributor.authorid961076246-
Appears in Collections:Computer Science, 1988-2020

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