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A new global alignment approach for underwater optical mapping

Lately, underwater vehicles have become important tools for exploration, monitoring and creation of maps of the seabed. Within mapping applications, the maps obtained from optical data are becoming essential in different study areas such as biological, geological and archaeological surveys, or in detection of benthic temporal changes. However, the underwater medium is very challenging for optical sensors and does not allow the area of interest to be imaged in a single image. Therefore, image mosaicing methods are necessary. Although recent advances in detection of correspondences between images have resulted in highly effective image registration methods, global alignment methods are still needed to obtain a globally coherent mosaic. In this paper, we propose a new global alignment method which works on the mosaic frame and does not require non-linear optimisation. Additionally, a simple image rectifying method is presented to reduce the down-scaling effect which might occur when minimising errors defined in the mosaic frame. Moreover, this rectifying method can also be seen as an alternative and straightforward way of incorporating different sensor information if available. The proposed framework has been tested with underwater image sequences. The resulting method is faster than its counterparts while providing the same level of registration quality

This work was partially funded through the Spanish Ministry of Education and Science (MCINN) under grant CTM2010-15216, EU Project FP7-ICT-2009-248497. Armagan Elibol was funded by Generalitat de Catalunya under grant 2004FI-IQUC1/00130. Nuno Gracias was supported by MCINN under the Ramon y Cajal program

© Ocean Engineering, 2011, vol. 38, p. 1207-1219

Elsevier

Author: Elibol, Armagan
García Campos, Rafael
Grácias, Nuno Ricardo Estrela
Date: 2011
Abstract: Lately, underwater vehicles have become important tools for exploration, monitoring and creation of maps of the seabed. Within mapping applications, the maps obtained from optical data are becoming essential in different study areas such as biological, geological and archaeological surveys, or in detection of benthic temporal changes. However, the underwater medium is very challenging for optical sensors and does not allow the area of interest to be imaged in a single image. Therefore, image mosaicing methods are necessary. Although recent advances in detection of correspondences between images have resulted in highly effective image registration methods, global alignment methods are still needed to obtain a globally coherent mosaic. In this paper, we propose a new global alignment method which works on the mosaic frame and does not require non-linear optimisation. Additionally, a simple image rectifying method is presented to reduce the down-scaling effect which might occur when minimising errors defined in the mosaic frame. Moreover, this rectifying method can also be seen as an alternative and straightforward way of incorporating different sensor information if available. The proposed framework has been tested with underwater image sequences. The resulting method is faster than its counterparts while providing the same level of registration quality
This work was partially funded through the Spanish Ministry of Education and Science (MCINN) under grant CTM2010-15216, EU Project FP7-ICT-2009-248497. Armagan Elibol was funded by Generalitat de Catalunya under grant 2004FI-IQUC1/00130. Nuno Gracias was supported by MCINN under the Ramon y Cajal program
Format: application/pdf
ISSN: 0029-8018
Document access: http://hdl.handle.net/10256/10200
Language: eng
Publisher: Elsevier
Collection: MICINN/PN 2011-2014/CTM2010-15216
AGAUR/2004FI-IQUC1/00130
Reproducció digital del document publicat a: http://dx.doi.org/10.1016/j.oceaneng.2011.05.013
Articles publicats (D-ATC)
info:eu-repo/grantAgreement/EC/FP7/248497
Is part of: © Ocean Engineering, 2011, vol. 38, p. 1207-1219
Rights: Tots els drets reservats
Subject: Seguiment ambiental
Environmental monitoring
Fons marins
Ocean bottom
Imatges -- Processament
Image processing
Vehicles submergibles
Submersibles
Title: A new global alignment approach for underwater optical mapping
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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