Inverse problems in time-of-flight imaging : theory, algorithms and applications
Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2014.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2015
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| Online Access: | http://hdl.handle.net/1721.1/95867 |
| _version_ | 1811090617946603520 |
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| author | Bhandari, Ayush |
| author2 | Ramesh Raskar. |
| author_facet | Ramesh Raskar. Bhandari, Ayush |
| author_sort | Bhandari, Ayush |
| collection | MIT |
| description | Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2014. |
| first_indexed | 2024-09-23T14:49:03Z |
| format | Thesis |
| id | mit-1721.1/95867 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T14:49:03Z |
| publishDate | 2015 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/958672022-01-18T16:41:35Z Inverse problems in time-of-flight imaging : theory, algorithms and applications Bhandari, Ayush Ramesh Raskar. Massachusetts Institute of Technology. Department of Architecture. Program in Media Arts and Sciences. Program in Media Arts and Sciences (Massachusetts Institute of Technology) Architecture. Program in Media Arts and Sciences. Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2014. Cataloged from PDF version of thesis. Includes bibliographical references (pages 100-108). Time-of-Fight (ToF) cameras utilize a combination of phase and amplitude information to return real-time, three dimensional information of a scene in form of depth images. Such cameras have a number of scientific and consumer oriented applications. In this work, we formalize a mathematical framework that leads to unifying perspective on tackling inverse problems that arise in the ToF imaging context. Starting from first principles, we discuss the implications of time and frequency domain sensing of a scene. From a linear systems perspective, this amounts to an operator sampling problem where the operator depends on the physical parameters of a scene or the bio-sample being investigated. Having presented some examples of inverse problems, we discuss detailed solutions that benefit from scene based priors such sparsity and rank constraints. Our theory is corroborated by experiments performed using ToF/Kinect cameras. Applications of this work include multi-bounce light decomposition, ultrafast imaging and fluorophore lifetime estimation. by Ayush Bhandari. S.M. 2015-03-05T15:57:43Z 2015-03-05T15:57:43Z 2014 2014 Thesis http://hdl.handle.net/1721.1/95867 904051579 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 108 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Architecture. Program in Media Arts and Sciences. Bhandari, Ayush Inverse problems in time-of-flight imaging : theory, algorithms and applications |
| title | Inverse problems in time-of-flight imaging : theory, algorithms and applications |
| title_full | Inverse problems in time-of-flight imaging : theory, algorithms and applications |
| title_fullStr | Inverse problems in time-of-flight imaging : theory, algorithms and applications |
| title_full_unstemmed | Inverse problems in time-of-flight imaging : theory, algorithms and applications |
| title_short | Inverse problems in time-of-flight imaging : theory, algorithms and applications |
| title_sort | inverse problems in time of flight imaging theory algorithms and applications |
| topic | Architecture. Program in Media Arts and Sciences. |
| url | http://hdl.handle.net/1721.1/95867 |
| work_keys_str_mv | AT bhandariayush inverseproblemsintimeofflightimagingtheoryalgorithmsandapplications |