Efficient Topology Estimation for Large Scale Optical Mapping

Large scale optical mapping methods are in great demand among scientists who study different aspects of the seabed, and have been fostered by impressive advances in the capabilities of underwater robots in gathering optical data from the seafloor. Cost and weight constraints mean that low-cost ROVs...

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Asıl Yazarlar: Elibol, Armagan, Gracias, Nuno (Yazar), Garcia, Rafael, 19..- (Yazar)
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edisyon:1st ed. 2013.
Seri Bilgileri:Springer Tracts in Advanced Robotics 82
Online Erişim:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Not: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Efficient Topology Estimation for Large Scale Optical Mapping, Texte imprimé, 9783642303128
• Efficient Topology Estimation for Large Scale Optical Mapping, Texte imprimé, 9783642303142
• Efficient Topology Estimation for Large Scale Optical Mapping, Texte imprimé, 9783642432033
• Efficient Topology Estimation for Large Scale Optical Mapping, Texte imprimé, 9783642303128
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245 1 0 |a Efficient Topology Estimation for Large Scale Optical Mapping   |c by Armagan Elibol, Nuno Gracias, Rafael Garcia. 
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505 1 |a Feature-Based Image Mosaicing New Global Alignment Method Combined ASKF-EKF Framework for Topology Estimation Topology Estimation using Bundle Adjustment Conclusions New Global Alignment Method Combined ASKF-EKF Framework for Topology Estimation Topology Estimation using Bundle Adjustment 
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506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a Large scale optical mapping methods are in great demand among scientists who study different aspects of the seabed, and have been fostered by impressive advances in the capabilities of underwater robots in gathering optical data from the seafloor. Cost and weight constraints mean that low-cost ROVs usually have a very limited number of sensors. When a low-cost robot carries out a seafloor survey using a down-looking camera, it usually follows a predefined trajectory that provides several non time-consecutive overlapping image pairs. Finding these pairs (a process known as topology estimation) is indispensable to obtaining globally consistent mosaics and accurate trajectory estimates, which are necessary for a global view of the surveyed area, especially when optical sensors are the only data source. This book contributes to the state-of-art in large area image mosaicing methods for underwater surveys using low-cost vehicles equipped with a very limited sensor suite. The main focus has been on global alignment and fast topology estimation, which are the most challenging steps in creating large area image mosaics. This book is intended to emphasise the importance of the topology estimation problem and to present different solutions using interdisciplinary approaches opening a way to further develop new strategies and methodologies.  
700 1 |a Gracias, Nuno.  |4 aut 
700 1 |a Garcia, Rafael,  |d 19..-  |4 aut 
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