dc.contributor.author | Risholm, Petter | |
dc.contributor.author | Kirkhus, Trine | |
dc.contributor.author | Thielemann, Jens T | |
dc.contributor.author | Thorstensen, Jostein Bruun | |
dc.date.accessioned | 2021-10-05T12:39:28Z | |
dc.date.available | 2021-10-05T12:39:28Z | |
dc.date.created | 2019-05-28T15:12:52Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Sensors. 2019, 19 (5), . | en_US |
dc.identifier.issn | 1424-8220 | |
dc.identifier.uri | https://hdl.handle.net/11250/2787754 | |
dc.description.abstract | : High-precision underwater 3D cameras are required to automate many of the traditional
subsea inspection, maintenance and repair (IMR) operations. In this paper we introduce a
novel multi-frequency phase stepping (structured light) method for high-precision 3D estimation
even in turbid water. We introduce an adaptive phase-unwrapping procedure which uses the
phase-uncertainty to determine the highest frequency that can be reliably unwrapped. Light scattering
adversely affects the phase estimate. We propose to remove the effect of forward scatter with an
unsharp filter and a model-based method to remove the backscatter effect. Tests in varying turbidity
show that the scatter correction removes the adverse effect of scatter on the phase estimates. The
adaptive frequency unwrapping with scatter correction results in images with higher accuracy and
precision and less phase unwrap errors than the Gray-Code Phase Stepping (GCPS) approach. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | MDPI | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.subject | structured light | en_US |
dc.subject | multi-frequency phase stepping | en_US |
dc.subject | underwater | en_US |
dc.subject | scatter correction | en_US |
dc.title | Adaptive Structured Light with Scatter Correction for High-Precision Underwater 3D Measurements | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited | en_US |
dc.source.pagenumber | 15 | en_US |
dc.source.volume | 19 | en_US |
dc.source.journal | Sensors | en_US |
dc.source.issue | 1043 | en_US |
dc.identifier.doi | 10.3390/s19051043 | |
dc.identifier.cristin | 1700955 | |
dc.relation.project | Norges forskningsråd: 280934 | en_US |
cristin.unitcode | 7401,90,33,0 | |
cristin.unitname | Smart Sensor Systems | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |