3D Reconstruction with Neural Networks.

datacite.rightsrestricted
dc.contributor.advisorRusinkiewicz, Szymon
dc.contributor.authorMelesse, Michael
dc.date.accessioned2018-08-14T16:25:18Z
dc.date.accessioned2026-09-29T21:55:14Z
dc.date.available2018-08-14T16:25:18Z
dc.date.available2026-09-29T21:55:14Z
dc.date.created2018-05-15
dc.date.issued2018-08-14
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.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp019306t204j
dc.identifier.urihttps://theses-dissertations.princeton.edu/handle/88435/dsp019306t204j
dc.language.isoenen_US
dc.title3D Reconstruction with Neural Networks.en_US
dc.typePrinceton University Senior Theses
pu.contributor.authorid961076246
pu.date.classyear2018en_US
pu.departmentComputer Scienceen_US
pu.pdf.coverpageSeniorThesisCoverPage

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