Vai al contenuto principale della pagina

Efficient topology estimation for large scale optical mapping / Armağan Elibol, Nuno Gracias, Rafael Garcia



(Visualizza formato Marc21)    (visualizza in BIBRAME 2.0)

Creatore: Elibol, Armağan Visualizza persona
Titolo: Efficient topology estimation for large scale optical mapping / Armağan Elibol, Nuno Gracias, Rafael Garcia
Link to work: Efficient topology estimation for large scale optical mapping Visualizza cluster
Pubblicazione: Berlin ; New York : Springer, ©2013
Estensione: 1 online resource.
Tipo formato: computer
Tipo contenuto: text
Tipo supporto: online resource
Disciplina: 629.8/92637
Titolo uniforme di collana: Springer tracts in advanced robotics ; 82.
Genere/Forma: Electronic books
Index term-Uncontrolled: Engineering
Artificial intelligence
Robotics and Automation
Signal, Image and Speech Processing
Computational Intelligence
Soggetto non controllato: Engineering
Artificial intelligence
Robotics and Automation
Signal, Image and Speech Processing
Computational Intelligence
Termine d'indicizzazione-Occupazione: Engineering
Artificial intelligence
Robotics and Automation
Signal, Image and Speech Processing
Computational Intelligence
Classificazione: 54.83
Classificazione LOC: TJ211.3 .E45 2013
Creatori/Collaboratori: Gracias, Nuno
Garcia, Rafael
Contenuto supplementare: Includes bibliographical references.
Nota di contenuto: Introduction -- Feature-Based Image Mosaicing -- A New Global Alignment Method for Feature Based Image Mosaicing -- Combined ASKF-EKF Framework for Topology Estimation -- Topology Estimation Using Bundle Adjustment -- Conclusions.
Restrizioni accesso: Access is restricted to users affiliated with licensed institutions.
Sommario/riassunto: 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.
Collana: Springer tracts in advanced robotics, 1610-7438 ; 82
ISBN: 9783642303135
3642303137
3642303129
9783642303128
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 004624103
Localizzazioni e accesso elettronico https://ebookcentral.proquest.com/lib/nyulibrary-ebooks/detail.action?docID=3070944
Collocazione: Electronic access
Lo trovi qui: New York University