Efficient Topology Estimation for Large Scale Optical Mapping (Record no. 56159)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03579nam a22005655i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-642-30313-5 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421111852.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 120808s2013 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783642303135 |
| -- | 978-3-642-30313-5 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 629.892 |
| 100 1# - AUTHOR NAME | |
| Author | Elibol, Armagan. |
| 245 10 - TITLE STATEMENT | |
| Title | Efficient Topology Estimation for Large Scale Optical Mapping |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XVI, 88 p. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Springer Tracts in Advanced Robotics, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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# - AUTHOR 2 | |
| Author 2 | Gracias, Nuno. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Garcia, Rafael. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-642-30313-5 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Berlin, Heidelberg : |
| -- | Springer Berlin Heidelberg : |
| -- | Imprint: Springer, |
| -- | 2013. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
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| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Robotics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Automation. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Robotics and Automation. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence (incl. Robotics). |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Signal, Image and Speech Processing. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational Intelligence. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 1610-7438 ; |
| 912 ## - | |
| -- | ZDB-2-ENG |
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