dc.contributor.advisor | Allan Adams. | en_US |
dc.contributor.author | Denmark, Evan L. | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
dc.date.accessioned | 2021-01-06T18:34:23Z | |
dc.date.available | 2021-01-06T18:34:23Z | |
dc.date.copyright | 2020 | en_US |
dc.date.issued | 2020 | en_US |
dc.identifier.uri | https://hdl.handle.net/1721.1/129202 | |
dc.description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, September, 2020 | en_US |
dc.description | Cataloged from student-submitted PDF of thesis. | en_US |
dc.description | Includes bibliographical references (pages 59-61). | en_US |
dc.description.abstract | Photogrammetry is a useful process to quickly and accurately create 3D assets. Although the aesthetic quality of a reconstructed 3D model is ultimately the most important factor, other factors like total reconstruction time and model size do play a role in objectifying success. The reconstruction software Reality Capture additionally provides three metrics that describe the photo alignment process. Through a series of photogrammetry sessions in a variety of environments, these three metrics - average track length, median reprojection error, and the percent of registered cameras - are tested for their correlation to the final quality of the model. It was concluded that these metrics do not provide meaningful insight to the model's quality. | en_US |
dc.description.statementofresponsibility | by Evan L. Denmark. | en_US |
dc.format.extent | 61 pages | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | MIT 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.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
dc.subject | Electrical Engineering and Computer Science. | en_US |
dc.title | A technical analysis of photogrammetry with reality capture | en_US |
dc.type | Thesis | en_US |
dc.description.degree | M. Eng. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
dc.identifier.oclc | 1227275209 | en_US |
dc.description.collection | M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science | en_US |
dspace.imported | 2021-01-06T18:34:22Z | en_US |
mit.thesis.degree | Master | en_US |
mit.thesis.department | EECS | en_US |