Macroscopic interferometry: rethinking depth estimation with frequency-domain time-of-flight
A form of meter-scale, macroscopic interferometry is proposed using conventional time-of-flight (ToF) sensors. Today, ToF sensors use phase-based sampling, where the phase delay between emitted and received, high-frequency signals encodes distance. This paper examines an alternative ToF architecture...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Institute of Electrical and Electronics Engineers (IEEE)
2020
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| Online Access: | https://hdl.handle.net/1721.1/124786 |
| _version_ | 1811096260456742912 |
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| author | Kadambi, Achuta Schiel, Jamie Raskar, Ramesh |
| author2 | Program in Media Arts and Sciences (Massachusetts Institute of Technology) |
| author_facet | Program in Media Arts and Sciences (Massachusetts Institute of Technology) Kadambi, Achuta Schiel, Jamie Raskar, Ramesh |
| author_sort | Kadambi, Achuta |
| collection | MIT |
| description | A form of meter-scale, macroscopic interferometry is proposed using conventional time-of-flight (ToF) sensors. Today, ToF sensors use phase-based sampling, where the phase delay between emitted and received, high-frequency signals encodes distance. This paper examines an alternative ToF architecture, inspired by micron-scale, microscopic interferometry, that relies only on frequency sampling: we refer to our proposed macroscopic technique as Frequency-Domain Time of Flight (FD-ToF). The proposed architecture offers several benefits over existing phase ToF systems, such as robustness to phase wrapping and implicit resolution of multi-path interference, all while capturing the same number of subframes. A prototype camera is constructed to demonstrate macroscopic interferometry at meter scale. ©2016 |
| first_indexed | 2024-09-23T16:41:03Z |
| format | Article |
| id | mit-1721.1/124786 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T16:41:03Z |
| publishDate | 2020 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1247862022-10-03T07:35:59Z Macroscopic interferometry: rethinking depth estimation with frequency-domain time-of-flight Kadambi, Achuta Schiel, Jamie Raskar, Ramesh Program in Media Arts and Sciences (Massachusetts Institute of Technology) Massachusetts Institute of Technology. Media Laboratory A form of meter-scale, macroscopic interferometry is proposed using conventional time-of-flight (ToF) sensors. Today, ToF sensors use phase-based sampling, where the phase delay between emitted and received, high-frequency signals encodes distance. This paper examines an alternative ToF architecture, inspired by micron-scale, microscopic interferometry, that relies only on frequency sampling: we refer to our proposed macroscopic technique as Frequency-Domain Time of Flight (FD-ToF). The proposed architecture offers several benefits over existing phase ToF systems, such as robustness to phase wrapping and implicit resolution of multi-path interference, all while capturing the same number of subframes. A prototype camera is constructed to demonstrate macroscopic interferometry at meter scale. ©2016 2020-04-22T14:28:22Z 2020-04-22T14:28:22Z 2016-07 2019-08-02T12:28:03Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/124786 Kadambi, Achuta, Jamie Schiel, and Ramesh Raskar, "Macroscopic interferometry: rethinking depth estimation with frequency-domain time-of-flight." Proceedings, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 26 June-1 Jul;y 2016, Las Vegas, Nevada (Piscataway, N.J.: IEEE, 2016): p. 893-902 doi 10.1109/CVPR.2016.103 ©2016 Author(s) en 10.1109/CVPR.2016.103 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) MIT web domain |
| spellingShingle | Kadambi, Achuta Schiel, Jamie Raskar, Ramesh Macroscopic interferometry: rethinking depth estimation with frequency-domain time-of-flight |
| title | Macroscopic interferometry: rethinking depth estimation with frequency-domain time-of-flight |
| title_full | Macroscopic interferometry: rethinking depth estimation with frequency-domain time-of-flight |
| title_fullStr | Macroscopic interferometry: rethinking depth estimation with frequency-domain time-of-flight |
| title_full_unstemmed | Macroscopic interferometry: rethinking depth estimation with frequency-domain time-of-flight |
| title_short | Macroscopic interferometry: rethinking depth estimation with frequency-domain time-of-flight |
| title_sort | macroscopic interferometry rethinking depth estimation with frequency domain time of flight |
| url | https://hdl.handle.net/1721.1/124786 |
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