Eulerian-Lagrangian stereo-to-multi-view Conversion
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2017
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| Online Access: | http://hdl.handle.net/1721.1/106448 |
| _version_ | 1826209306211516416 |
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| author | Wang, Szu-Po |
| author2 | Wojciech Matusik. |
| author_facet | Wojciech Matusik. Wang, Szu-Po |
| author_sort | Wang, Szu-Po |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. |
| first_indexed | 2024-09-23T14:20:27Z |
| format | Thesis |
| id | mit-1721.1/106448 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T14:20:27Z |
| publishDate | 2017 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1064482019-04-12T17:08:57Z Eulerian-Lagrangian stereo-to-multi-view Conversion Wang, Szu-Po Wojciech Matusik. 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: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. Cataloged from PDF version of thesis. Includes bibliographical references (pages 49-52). In contrast to the popularity of stereoscopic 3D (S3D) movies in movie theaters, the adoption of S3D at home is low. It is widely believed that watching S3D with glasses is not the pratical approach for a home setting. A much more appealing approach is to use automultiscopic displays that provide a glasses-free 3D experience to multiple viewers. The main technical challenge that hampers the adaptation of this technology is the lack of multi-view content. We develop a real-time system that converts stereoscopic video to a high-quality, multi-view video, which can be directly fed to automultiscopic displays. Our algorithm uses a wavelet-based decomposition of stereoscopic images with per-wavelet disparity estimation. One key contribution lies in combining Lagrangian and Eulerian approaches. This allows us to leverage their complementary advantages. The method achieves real-time performance on current GPUs. Its design also enables an easy hardware implementation, demonstrated using a field-programmable gate array. by Szu-Po Wang. M. Eng. 2017-01-12T18:33:55Z 2017-01-12T18:33:55Z 2016 2016 Thesis http://hdl.handle.net/1721.1/106448 967665359 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 52 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Wang, Szu-Po Eulerian-Lagrangian stereo-to-multi-view Conversion |
| title | Eulerian-Lagrangian stereo-to-multi-view Conversion |
| title_full | Eulerian-Lagrangian stereo-to-multi-view Conversion |
| title_fullStr | Eulerian-Lagrangian stereo-to-multi-view Conversion |
| title_full_unstemmed | Eulerian-Lagrangian stereo-to-multi-view Conversion |
| title_short | Eulerian-Lagrangian stereo-to-multi-view Conversion |
| title_sort | eulerian lagrangian stereo to multi view conversion |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/106448 |
| work_keys_str_mv | AT wangszupo eulerianlagrangianstereotomultiviewconversion |