Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp019306t204j
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Rusinkiewicz, Szymon | - |
dc.contributor.author | Melesse, Michael | - |
dc.date.accessioned | 2018-08-14T16:25:18Z | - |
dc.date.available | 2018-08-14T16:25:18Z | - |
dc.date.created | 2018-05-15 | - |
dc.date.issued | 2018-08-14 | - |
dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp019306t204j | - |
dc.description.abstract | Neural 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.mimetype | application/pdf | - |
dc.language.iso | en | en_US |
dc.title | 3D Reconstruction with Neural Networks. | en_US |
dc.type | Princeton University Senior Theses | - |
pu.date.classyear | 2018 | en_US |
pu.department | Computer Science | en_US |
pu.pdf.coverpage | SeniorThesisCoverPage | - |
pu.contributor.authorid | 961076246 | - |
Appears in Collections: | Computer Science, 1988-2020 |
Files in This Item:
File | Description | Size | Format | |
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MELESSE-MICHAEL-THESIS.pdf | 1.12 MB | Adobe PDF | Request a copy |
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