Unstructured light fields
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2013
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| Online Access: | http://hdl.handle.net/1721.1/79226 |
| _version_ | 1811094629399920640 |
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| author | Davis, Myers Abraham |
| author2 | Fredo Durand. |
| author_facet | Fredo Durand. Davis, Myers Abraham |
| author_sort | Davis, Myers Abraham |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013. |
| first_indexed | 2024-09-23T16:03:04Z |
| format | Thesis |
| id | mit-1721.1/79226 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T16:03:04Z |
| publishDate | 2013 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/792262019-04-10T22:01:37Z Unstructured light fields Davis, Myers Abraham Fredo Durand. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (p. 35-38). We present a system for interactively acquiring and rendering light fields using a hand-held commodity camera. The main challenge we address is assisting a user in achieving good coverage of the 4D domain despite the challenges of hand-held acquisition. We define coverage by bounding reprojection error between viewpoints, which accounts for all 4 dimensions of the light field. We use this criterion together with a recent Simultaneous Localization and Mapping technique to compute a coverage map on the space of viewpoints. We provide users with real-time feedback and direct them toward under-sampled parts of the light field. Our system is lightweight and has allowed us to capture hundreds of light fields. We further present a new rendering algorithm that is tailored to the unstructured yet dense data we capture. Our method can achieve piecewise-bicubic reconstruction using a triangulation of the captured viewpoints and subdivision rules applied to reconstruction weights. by Myers Abraham Davis (Abe Davis). S.M. 2013-06-17T19:49:00Z 2013-06-17T19:49:00Z 2013 2013 Thesis http://hdl.handle.net/1721.1/79226 844769861 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 38 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Davis, Myers Abraham Unstructured light fields |
| title | Unstructured light fields |
| title_full | Unstructured light fields |
| title_fullStr | Unstructured light fields |
| title_full_unstemmed | Unstructured light fields |
| title_short | Unstructured light fields |
| title_sort | unstructured light fields |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/79226 |
| work_keys_str_mv | AT davismyersabraham unstructuredlightfields |