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Titlebook: Efficient Topology Estimation for Large Scale Optical Mapping; Armagan Elibol,Nuno Gracias,Rafael Garcia Book 2013 Springer-Verlag GmbH Be

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書(shū)目名稱(chēng)Efficient Topology Estimation for Large Scale Optical Mapping
編輯Armagan Elibol,Nuno Gracias,Rafael Garcia
視頻videohttp://file.papertrans.cn/304/303011/303011.mp4
概述Presents computational algorithms for the efficient estimation of large-scale photomosaics.Presents consistent tools for creating large area image mosaics from optical data obtained during surveys wit
叢書(shū)名稱(chēng)Springer Tracts in Advanced Robotics
圖書(shū)封面Titlebook: Efficient Topology Estimation for Large Scale Optical Mapping;  Armagan Elibol,Nuno Gracias,Rafael Garcia Book 2013 Springer-Verlag GmbH Be
描述.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 est
出版日期Book 2013
關(guān)鍵詞Global Alignment; Image Mosaicing; Optical Mapping; Robotics; Topology Estimation; Underwater Robots; Visi
版次1
doihttps://doi.org/10.1007/978-3-642-30313-5
isbn_softcover978-3-642-43203-3
isbn_ebook978-3-642-30313-5Series ISSN 1610-7438 Series E-ISSN 1610-742X
issn_series 1610-7438
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2013
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https://doi.org/10.1007/978-3-662-61647-5ween images after they have been aligned. Several methods have been proposed for image blending [23, 68, 99, 127] as well as for mosaicing [116]. Pairwise and global alignment methods are reviewed and detailed later in this chapter.
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Book 2013rwater 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 est
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1610-7438 image mosaics from optical data obtained during surveys wit.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 s
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