LEADER 05895nam 22007695 450 001 996466091103316 005 20200701010352.0 010 $a3-540-48583-X 024 7 $a10.1007/3-540-58240-1 035 $a(CKB)1000000000234143 035 $a(SSID)ssj0000321334 035 $a(PQKBManifestationID)11254891 035 $a(PQKBTitleCode)TC0000321334 035 $a(PQKBWorkID)10262826 035 $a(PQKB)11110105 035 $a(DE-He213)978-3-540-48583-4 035 $a(PPN)155221744 035 $a(EXLCZ)991000000000234143 100 $a20121227d1994 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aApplications of Invariance in Computer Vision$b[electronic resource] $eSecond Joint European - US Workshop, Ponta Delgada, Azores, Portugal, October 9 - 14, 1993. Proceedings /$fedited by Joseph L. Mundy, Andrew Zisserman, David Forsyth 205 $a1st ed. 1994. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1994. 215 $a1 online resource (XI, 521 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v825 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-58240-1 327 $aand chapter summary -- Cartan's moving frame method and its application to the geometry and evolution of curves in the euclidean, affine and projective planes -- Representation of three-dimensional object structure as cross-ratios of determinants of stereo image points -- A case against epipolar geometry -- Repeated structures: Image correspondence constraints and 3D structure recovery -- How to use the cross ratio to compute projective invariants from two images -- On geometric and algebraic aspects of 3D affine and projective structures from perspective 2D views -- The double algebra: An effective tool for computing invariants in computer vision -- Matching perspective views of parallel plane structures -- Invariants for recovering shape from shading -- Fundamental difficulties with projective normalization of planar curves -- Invariant size functions -- Euclidean reconstruction from uncalibrated views -- Accurate projective reconstruction -- Applications of motion field of curves -- Affine reconstruction from perspective image pairs obtained by a translating camera -- Using invariance and quasi-invariance for the segmentation and recovery of curved objects -- Representations of 3D objects that incorporate surface markings -- Model-based invariant functions and their use for recognition -- Integration of multiple feature groups and multiple views into a 3D object recognition system -- Hierarchical object description using invariants -- Generalizing invariants for 3-D to 2-D matching -- Recognition by combinations of model views: Alignment and invariance -- Classification based on the cross ratio -- Correspondence of coplanar features through P2-invariant representations -- Integrating algebraic curves and surfaces, algebraic invariants and Bayesian methods for 2D and 3D object recognition. 330 $aThis book is the proceedings of the Second Joint European-US Workshop on Applications of Invariance to Computer Vision, held at Ponta Delgada, Azores, Portugal in October 1993. The book contains 25 carefully refereed papers by distinguished researchers. The papers cover all relevant foundational aspects of geometric and algebraic invariance as well as applications to computer vision, particularly to recovery and reconstruction, object recognition, scene analysis, robotic navigation, and statistical analysis. In total, the collection of papers, together with an introductory survey by the editors, impressively documents that geometry, in its different variants, is the most successful and ubiquitous tool in computer vision. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v825 606 $aOptical data processing 606 $aComputers 606 $aComputer graphics 606 $aPattern recognition 606 $aArtificial intelligence 606 $aSoftware engineering 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002 615 0$aOptical data processing. 615 0$aComputers. 615 0$aComputer graphics. 615 0$aPattern recognition. 615 0$aArtificial intelligence. 615 0$aSoftware engineering. 615 14$aImage Processing and Computer Vision. 615 24$aTheory of Computation. 615 24$aComputer Graphics. 615 24$aPattern Recognition. 615 24$aArtificial Intelligence. 615 24$aSoftware Engineering/Programming and Operating Systems. 676 $a006.4/2/01516 702 $aMundy$b Joseph L$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZisserman$b Andrew$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aForsyth$b David$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aJoint European-US Workshop on 'Applications of Invariance in Computer Vision'$d(2nd :$f1993 :$ePonta Delgada, Azores) 906 $aBOOK 912 $a996466091103316 996 $aApplications of invariance in computer vision$91492561 997 $aUNISA