Algorithms for 3D time-of-flight imaging
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.
| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2014
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| Online Access: | http://hdl.handle.net/1721.1/85609 |
| _version_ | 1826194060531990528 |
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| author | Mei, Jonathan (Jonathan B.) |
| author2 | Vivek K. Goyal. |
| author_facet | Vivek K. Goyal. Mei, Jonathan (Jonathan B.) |
| author_sort | Mei, Jonathan (Jonathan B.) |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013. |
| first_indexed | 2024-09-23T09:49:53Z |
| format | Thesis |
| id | mit-1721.1/85609 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T09:49:53Z |
| publishDate | 2014 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/856092019-04-12T13:59:59Z Algorithms for 3D time-of-flight imaging Algorithms for 3 dimensional time-of-flight imaging Algorithms for three-dimensional time-of-flight imaging Algorithms for 3D ToF imaging Mei, Jonathan (Jonathan B.) Vivek K. Goyal. 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, 2013. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 57-58). This thesis describes the design and implementation of two novel frameworks and processing schemes for 3D imaging based on time-of- flight (TOF) principles. The first is a low power, low hardware complexity technique based on parametric signal processing for orienting and localizing simple planar scenes. The second is an improved method for simultaneously performing phase unwrapping and denoising for sinusoidal amplitude modulated continuous wave ToF cameras using multiple frequencies. The first application uses several unfocused photodetectors with high time resolution to estimate information about features in the scene. Because the time profiles of the responses for each sensor are parametric in nature, the recovery algorithm uses finite rate of innovation (FRI) methods to estimate signal parameters. The signal parameters are then used to recover the scene features. The second application uses a generalized approximate message passing (GAMP) framework to incorporate both accurate probabilistic modeling for the measurement process and underlying scene depth map sparsity to accurately extend the unambiguous depth range of the camera. This joint processing results in improved performance over separate unwrapping and denoising steps. by Jonathan Mei. M. Eng. 2014-03-11T16:36:07Z 2014-03-11T16:36:07Z 2013 2013 Thesis http://hdl.handle.net/1721.1/85609 870686410 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 58 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Mei, Jonathan (Jonathan B.) Algorithms for 3D time-of-flight imaging |
| title | Algorithms for 3D time-of-flight imaging |
| title_full | Algorithms for 3D time-of-flight imaging |
| title_fullStr | Algorithms for 3D time-of-flight imaging |
| title_full_unstemmed | Algorithms for 3D time-of-flight imaging |
| title_short | Algorithms for 3D time-of-flight imaging |
| title_sort | algorithms for 3d time of flight imaging |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/85609 |
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