Aguiar et al 2016c - Revision history

Scipediacontent at 14:32, 21 January 2021

2021-01-21T14:32:46Z

Scipediacontent: Scipediacontent moved page Draft Content 496531849 to Aguiar et al 2016c

2020-10-14T13:08:30Z

Scipediacontent moved page Draft Content 496531849 to Aguiar et al 2016c

Scipediacontent: Created page with " == Abstract == Underwater imaging is being increasingly helpful for the autonomous robots to reconstruct and map the marine environments which is fundamental for searching f..."

2020-10-14T13:08:28Z

Created page with " == Abstract == Underwater imaging is being increasingly helpful for the autonomous robots to reconstruct and map the marine environments which is fundamental for searching f..."

New page

== Abstract ==

Underwater imaging is being increasingly helpful for the autonomous robots to reconstruct and map the marine environments which is fundamental for searching for pipelines or wreckages in depth waters. In this context, the accuracy of the information obtained from the environment is of extremely importance. This work presents a study about the accuracy of a reconfigurable stereo vision system while determining a dense disparity estimation for underwater imaging. The idea is to explore the advantage of this kind of system for underwater autonomous vehicles (AUV) since varying parameters like the baseline and the pose of the cameras make possible to extract accurate 3D information at different distances between the AUV and the scene. Therefore, the impact of these parameters is analyzed using a metric error of the point cloud acquired by a stereoscopic system. Furthermore, results obtained directly from an underwater environment proved that a reconfigurable stereo system can have some advantages for autonomous vehicles since, in some trials, the error was reduced by 0.05 m for distances between 1.125 and 2.675 m.

Document type: Part of book or chapter of book

== Full document ==
<pdf>Media:Draft_Content_496531849-beopen720-5002-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1007/978-3-319-41501-7_58 http://dx.doi.org/10.1007/978-3-319-41501-7_58] under the license http://www.springer.com/tdm

* [http://repositorio.inesctec.pt/bitstream/123456789/5838/1/P-00K-P97.pdf http://repositorio.inesctec.pt/bitstream/123456789/5838/1/P-00K-P97.pdf]

← Older revision		Revision as of 14:32, 21 January 2021
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	Underwater imaging is being increasingly helpful for the autonomous robots to reconstruct and map the marine environments which is fundamental for searching for pipelines or wreckages in depth waters. In this context, the accuracy of the information obtained from the environment is of extremely importance. This work presents a study about the accuracy of a reconfigurable stereo vision system while determining a dense disparity estimation for underwater imaging. The idea is to explore the advantage of this kind of system for underwater autonomous vehicles (AUV) since varying parameters like the baseline and the pose of the cameras make possible to extract accurate 3D information at different distances between the AUV and the scene. Therefore, the impact of these parameters is analyzed using a metric error of the point cloud acquired by a stereoscopic system. Furthermore, results obtained directly from an underwater environment proved that a reconfigurable stereo system can have some advantages for autonomous vehicles since, in some trials, the error was reduced by 0.05 m for distances between 1.125 and 2.675 m.		Underwater imaging is being increasingly helpful for the autonomous robots to reconstruct and map the marine environments which is fundamental for searching for pipelines or wreckages in depth waters. In this context, the accuracy of the information obtained from the environment is of extremely importance. This work presents a study about the accuracy of a reconfigurable stereo vision system while determining a dense disparity estimation for underwater imaging. The idea is to explore the advantage of this kind of system for underwater autonomous vehicles (AUV) since varying parameters like the baseline and the pose of the cameras make possible to extract accurate 3D information at different distances between the AUV and the scene. Therefore, the impact of these parameters is analyzed using a metric error of the point cloud acquired by a stereoscopic system. Furthermore, results obtained directly from an underwater environment proved that a reconfigurable stereo system can have some advantages for autonomous vehicles since, in some trials, the error was reduced by 0.05 m for distances between 1.125 and 2.675 m.
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−	~~Document type: Part of book or chapter of book~~
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−	~~== Full document ==~~
−	~~<pdf>Media:Draft_Content_496531849-beopen720-5002-document.pdf</pdf>~~


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	* [http://repositorio.inesctec.pt/bitstream/123456789/5838/1/P-00K-P97.pdf http://repositorio.inesctec.pt/bitstream/123456789/5838/1/P-00K-P97.pdf]		* [http://repositorio.inesctec.pt/bitstream/123456789/5838/1/P-00K-P97.pdf http://repositorio.inesctec.pt/bitstream/123456789/5838/1/P-00K-P97.pdf]
		+
		+	* [http://link.springer.com/content/pdf/10.1007/978-3-319-41501-7_58 http://link.springer.com/content/pdf/10.1007/978-3-319-41501-7_58],
		+	: [http://dx.doi.org/10.1007/978-3-319-41501-7_58 http://dx.doi.org/10.1007/978-3-319-41501-7_58] under the license http://www.springer.com/tdm
		+
		+	* [https://link.springer.com/chapter/10.1007/978-3-319-41501-7_58 https://link.springer.com/chapter/10.1007/978-3-319-41501-7_58],
		+	: [https://dblp.uni-trier.de/db/conf/iciar/iciar2016.html#AguiarPCM16 https://dblp.uni-trier.de/db/conf/iciar/iciar2016.html#AguiarPCM16],
		+	: [https://www.scipedia.com/public/Aguiar_et_al_2016c https://www.scipedia.com/public/Aguiar_et_al_2016c],
		+	: [https://dx.doi.org/10.1007/978-3-319-41501-7_58 https://dx.doi.org/10.1007/978-3-319-41501-7_58],
		+	: [http://dx.doi.org/10.1007/978-3-319-41501-7_58 http://dx.doi.org/10.1007/978-3-319-41501-7_58],
		+	: [https://academic.microsoft.com/#/detail/2495891708 https://academic.microsoft.com/#/detail/2495891708]

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