Issue |
J. Eur. Opt. Soc.-Rapid Publ.
Volume 14, Number 1, 2018
|
|
---|---|---|
Article Number | 2 | |
Number of page(s) | 13 | |
DOI | https://doi.org/10.1186/s41476-017-0070-8 | |
Published online | 08 January 2018 |
Research
Frequency-division-multiplexing based period-coded fringe pattern for reliable depth sensing
Xidian University, Key Laboratory of Intelligent Perception and Image Understanding (Chinese Ministry of Education), School of Artificial Intelligence, No. 2 South Taibai Road, 710071, Xi’an, China
Received:
22
September
2017
Accepted:
27
December
2017
The fringe pattern can realize high-resolution and dense depth sensing. However, the phase ambiguity is a challenge in the fringe pattern. In this paper, one period-code pattern is embedded to the fringe pattern by the frequency-division-multiplexing (FDM) framework. The nonparametric skew and De Bruijn sequence are utilized to determine the label of the period. For a more reliable phase unwrapping, three criteria are utilized to rectify the period numbers further. Quantitative and qualitative experiments show that the proposed method can achieve more reliable depth sensing compared with the counterparts. Even the measured scene contains discontinuous surfaces or sharp edges, the proposed algorithm can attain reliable depth.
Key words: Depth sensing / Structured light / Range sensing / Fringe pattern / Single-shot pattern
© The Author(s) 2018
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.