000 03502nam a22006255i 4500
001 978-3-642-34091-8
003 DE-He213
005 20140220083328.0
007 cr nn 008mamaa
008 120923s2012 gw | s |||| 0|eng d
020 _a9783642340918
_9978-3-642-34091-8
024 7 _a10.1007/978-3-642-34091-8
_2doi
050 4 _aTA1637-1638
050 4 _aTA1637-1638
072 7 _aUYT
_2bicssc
072 7 _aUYQV
_2bicssc
072 7 _aCOM012000
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082 0 4 _a006.6
_223
082 0 4 _a006.37
_223
100 1 _aDellaert, Frank.
_eeditor.
245 1 0 _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.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aX, 443 p. 209 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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 _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
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v7474
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-34091-8
912 _aZDB-2-SCS
912 _aZDB-2-LNC
999 _c103729
_d103729