000 | 03579nam a22005655i 4500 | ||
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001 | 978-3-642-30313-5 | ||
003 | DE-He213 | ||
005 | 20200421111852.0 | ||
007 | cr nn 008mamaa | ||
008 | 120808s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642303135 _9978-3-642-30313-5 |
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024 | 7 |
_a10.1007/978-3-642-30313-5 _2doi |
|
050 | 4 | _aTJ210.2-211.495 | |
050 | 4 | _aT59.5 | |
072 | 7 |
_aTJFM1 _2bicssc |
|
072 | 7 |
_aTEC037000 _2bisacsh |
|
072 | 7 |
_aTEC004000 _2bisacsh |
|
082 | 0 | 4 |
_a629.892 _223 |
100 | 1 |
_aElibol, Armagan. _eauthor. |
|
245 | 1 | 0 |
_aEfficient Topology Estimation for Large Scale Optical Mapping _h[electronic resource] / _cby Armagan Elibol, Nuno Gracias, Rafael Garcia. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
|
300 |
_aXVI, 88 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aSpringer Tracts in Advanced Robotics, _x1610-7438 ; _v82 |
|
505 | 0 | _aFeature-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 | _aLarge 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. . | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputational intelligence. | |
650 | 0 | _aRobotics. | |
650 | 0 | _aAutomation. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aRobotics and Automation. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aSignal, Image and Speech Processing. |
650 | 2 | 4 | _aComputational Intelligence. |
700 | 1 |
_aGracias, Nuno. _eauthor. |
|
700 | 1 |
_aGarcia, Rafael. _eauthor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642303128 |
830 | 0 |
_aSpringer Tracts in Advanced Robotics, _x1610-7438 ; _v82 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-30313-5 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c56159 _d56159 |