000 | 03597nam a22006375i 4500 | ||
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001 | 978-3-642-34091-8 | ||
003 | DE-He213 | ||
005 | 20160624102220.0 | ||
007 | cr nn 008mamaa | ||
008 | 120923s2012 gw | s |||| 0|eng d | ||
020 |
_a9783642340918 _9978-3-642-34091-8 |
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024 | 7 |
_a10.1007/978-3-642-34091-8 _2doi |
|
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050 | 4 | _aTA1637-1638 | |
072 | 7 |
_aUYT _2bicssc |
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_aOutdoor and Large-Scale Real-World Scene Analysis _h[electronic resource] : _b15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26 - July 1, 2011. Revised Selected Papers / _cedited by Frank Dellaert, Jan-Michael Frahm, Marc Pollefeys, Laura Leal-Taixé, Bodo Rosenhahn. |
260 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2012. |
|
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2012. |
|
300 |
_aX, 443 p. 209 illus. _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 |
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490 | 1 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v7474 |
|
505 | 0 | _aOutdoor and Large-Scale Real-World Scene Analysis, which covers all aspects -- Applications and open problems regarding the performance or design of computer vision algorithms capable of working in outdoor setups and/or large-scale environments -- Developing these methods is important for driver assistance -- City modeling and reconstruction -- Virtual tourism -- Telepresence -- Motion capture. | |
520 | _aThis book constitutes the thoroughly refereed post-proceedings of the 15th International Workshop on Theoretic Foundations of Computer Vision, held as a Dagstuhl Seminar in Dagstuhl Castle, Germany, in June/July 2011. The 19 revised full papers presented were carefully reviewed and selected after a blind peer-review process. The topic of this Workshop was Outdoor and Large-Scale Real-World Scene Analysis, which covers all aspects, applications and open problems regarding the performance or design of computer vision algorithms capable of working in outdoor setups and/or large-scale environments. Developing these methods is important for driver assistance, city modeling and reconstruction, virtual tourism, telepresence, and motion capture. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputer vision. | |
650 | 0 | _aOptical pattern recognition. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aImage Processing and Computer Vision. |
650 | 2 | 4 | _aPattern Recognition. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aProbability and Statistics in Computer Science. |
650 | 2 | 4 | _aComputer Applications. |
650 | 2 | 4 | _aComputer Science, general. |
700 | 1 |
_aDellaert, Frank. _eeditor. |
|
700 | 1 |
_aFrahm, Jan-Michael. _eeditor. |
|
700 | 1 |
_aPollefeys, Marc. _eeditor. |
|
700 | 1 |
_aLeal-Taixé, Laura. _eeditor. |
|
700 | 1 |
_aRosenhahn, Bodo. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642340901 |
786 | _dSpringer | ||
830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v7474 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-34091-8 |
942 |
_2EBK10557 _cEBK |
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999 |
_c39851 _d39851 |