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Customizing time of flight modulation codes to resolve mixed pixels

Published: 21 July 2013 Publication History

Abstract

We couple custom binary sequences with sparsity based approaches to address the multi-path problem in time of flight imaging. In particular, we utilize maximum length m-sequences that allow us to produce non band-limited correlation functions. Coupled with a tailored sparse deconvolution approach, we are able to resolve the constituent phases and amplitudes of a mixed pixel measurement. Finally, we demonstrate application scenarios, including depth imaging of near-transparent objects.

References

[1]
Fuchs, S. 2010. Multipath interference compensation in time-of-flight camera images. In Pattern Recognition (ICPR), 2010 20th International Conference on, IEEE, 3583--3586.
[2]
Godbaz, J. P., Cree, M. J., and Dorrington, A. A. 2012. Closed-form inverses for the mixed pixel/multipath interference problem in amcw lidar. In IS&T/SPIE Electronic Imaging, International Society for Optics and Photonics, 829618--829618.

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  • (2023)Recent Advances in Computational Time-of-Flight Imaging2023 57th Asilomar Conference on Signals, Systems, and Computers10.1109/IEEECONF59524.2023.10477005(1166-1173)Online publication date: 29-Oct-2023

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cover image ACM Conferences
SIGGRAPH '13: ACM SIGGRAPH 2013 Posters
July 2013
115 pages
ISBN:9781450323420
DOI:10.1145/2503385
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 21 July 2013

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  • (2023)Recent Advances in Computational Time-of-Flight Imaging2023 57th Asilomar Conference on Signals, Systems, and Computers10.1109/IEEECONF59524.2023.10477005(1166-1173)Online publication date: 29-Oct-2023

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