Item


Online underwater optical mapping for trajectories with gaps

This paper proposes a vision-only online mosaicing method for underwater surveys. Our method tackles a common problem in low-cost imaging platforms, where complementary navigation sensors produce imprecise or even missing measurements. Under these circumstances, the success of the optical mapping depends on the continuity of the acquired video stream. However, this continuity cannot be always guaranteed due to the motion blurs or lack of texture, common in underwater scenarios. Such temporal gaps hinder the extraction of reliable motion estimates from visual odometry, and compromise the ability to infer the presence of loops for producing an adequate optical map. Unlike traditional underwater mosaicing methods, our proposal can handle camera trajectories with gaps between time-consecutive images. This is achieved by constructing minimum spanning tree which verifies whether the current topology is connected or not. To do so, we embed a trajectory estimate correction step based on graph theory algorithms. The proposed method was tested with several different underwater image sequences and results were presented to illustrate the performance

This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the IT Consilience Creative Program (IITP-2015-R0346-15-1008) supervised by the NIPA (National IT Industry Promotion Agency), the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (2013062644) and was a part of the project titled ‘Development of an autonomous ship-hull inspection system’ funded by the Ministry of Oceans and Fisheries, Korea. It was also partially funded through MINECO (grant numberCTM2013-46718-R), the European Commission’s Seventh Framework Programme as part of the project Eurofleets2 (grant number FP7-INF-2012-312762), and Generalitat de Catalunya through the ACCIO/TecnioSpring program (TECSPR14-1-0050)

Springer Verlag

Manager: Ministerio de Economía y Competitividad (Espanya)
Author: Elibol, Armagan
Shim, Hyunjung
Hong, Seonghun
Kim, Jinwhan
Grácias, Nuno Ricardo Estrela
García Campos, Rafael
Abstract: This paper proposes a vision-only online mosaicing method for underwater surveys. Our method tackles a common problem in low-cost imaging platforms, where complementary navigation sensors produce imprecise or even missing measurements. Under these circumstances, the success of the optical mapping depends on the continuity of the acquired video stream. However, this continuity cannot be always guaranteed due to the motion blurs or lack of texture, common in underwater scenarios. Such temporal gaps hinder the extraction of reliable motion estimates from visual odometry, and compromise the ability to infer the presence of loops for producing an adequate optical map. Unlike traditional underwater mosaicing methods, our proposal can handle camera trajectories with gaps between time-consecutive images. This is achieved by constructing minimum spanning tree which verifies whether the current topology is connected or not. To do so, we embed a trajectory estimate correction step based on graph theory algorithms. The proposed method was tested with several different underwater image sequences and results were presented to illustrate the performance
This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the IT Consilience Creative Program (IITP-2015-R0346-15-1008) supervised by the NIPA (National IT Industry Promotion Agency), the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (2013062644) and was a part of the project titled ‘Development of an autonomous ship-hull inspection system’ funded by the Ministry of Oceans and Fisheries, Korea. It was also partially funded through MINECO (grant numberCTM2013-46718-R), the European Commission’s Seventh Framework Programme as part of the project Eurofleets2 (grant number FP7-INF-2012-312762), and Generalitat de Catalunya through the ACCIO/TecnioSpring program (TECSPR14-1-0050)
Document access: http://hdl.handle.net/2072/298526
Language: eng
Publisher: Springer Verlag
Rights: Tots els drets reservats
Subject: Seguiment ambiental
Environmental monitoring
Vehicles submergibles
Submersibles
Imatges -- Processament
Image processing
Fons marins
Ocean bottom
Title: Online underwater optical mapping for trajectories with gaps
Type: info:eu-repo/semantics/article
Repository: Recercat

Subjects

Authors