000 03199nam a22005895i 4500
001 978-3-540-24656-5
003 DE-He213
005 20170515111559.0
007 cr nn 008mamaa
008 121227s2004 gw | s |||| 0|eng d
020 _a9783540246565
_9978-3-540-24656-5
024 7 _a10.1007/b97201
_2doi
050 4 _aQA440-699
072 7 _aPBM
_2bicssc
072 7 _aMAT012000
_2bisacsh
082 0 4 _a516
_223
100 1 _aHeuel, Stephan.
_eauthor.
245 1 0 _aUncertain Projective Geometry
_h[electronic resource] :
_bStatistical Reasoning for Polyhedral Object Reconstruction /
_cby Stephan Heuel.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2004.
300 _aXVIII, 210 p.
_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 ;
_v3008
505 0 _a1 Introduction -- 2 Representation of Geometric Entities and Transformations -- 3 Geometric Reasoning Using Projective Geometry -- 4 Statistical Geometric Reasoning -- 5 Polyhedral Object Reconstruction -- 6 Conclusions -- A Notation -- B Linear Algebra -- C Statistics.
520 _aAlgebraic projective geometry, with its multilinear relations and its embedding into Grassmann-Cayley algebra, has become the basic representation of multiple view geometry, resulting in deep insights into the algebraic structure of geometric relations, as well as in efficient and versatile algorithms for computer vision and image analysis. This book provides a coherent integration of algebraic projective geometry and spatial reasoning under uncertainty with applications in computer vision. Beyond systematically introducing the theoretical foundations from geometry and statistics and clear rules for performing geometric reasoning under uncertainty, the author provides a collection of detailed algorithms. The book addresses researchers and advanced students interested in algebraic projective geometry for image analysis, in statistical representation of objects and transformations, or in generic tools for testing and estimating within the context of geometric multiple-view analysis.
650 0 _aMathematics.
650 0 _aMathematical statistics.
650 0 _aArtificial intelligence.
650 0 _aComputer graphics.
650 0 _aImage processing.
650 0 _aPattern recognition.
650 0 _aGeometry.
650 1 4 _aMathematics.
650 2 4 _aGeometry.
650 2 4 _aPattern Recognition.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aProbability and Statistics in Computer Science.
650 2 4 _aComputer Graphics.
650 2 4 _aArtificial Intelligence (incl. Robotics).
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540220299
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v3008
856 4 0 _uhttp://dx.doi.org/10.1007/b97201
912 _aZDB-2-SCS
912 _aZDB-2-LNC
912 _aZDB-2-BAE
942 _2ddc
_cEB
950 _aComputer Science (Springer-11645)
999 _c16029
_d16029