LEADER 04057nam 22008055 450 001 996466245403316 005 20200630163804.0 010 $a3-642-24785-7 024 7 $a10.1007/978-3-642-24785-9 035 $a(CKB)3390000000021967 035 $a(SSID)ssj0000610784 035 $a(PQKBManifestationID)11428370 035 $a(PQKBTitleCode)TC0000610784 035 $a(PQKBWorkID)10639803 035 $a(PQKB)11717856 035 $a(DE-He213)978-3-642-24785-9 035 $a(MiAaPQ)EBC3069841 035 $z(PPN)221251251 035 $a(PPN)159085349 035 $a(EXLCZ)993390000000021967 100 $a20120101d2012 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aScale Space and Variational Methods in Computer Vision$b[electronic resource] $eThird International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 -- June 2, 2011, Revised Selected Papers /$fedited by Alfred M. Bruckstein, Bart M. ter Haar Romeny, Alexander M. Bronstein, Michael M. Bronstein 205 $a1st ed. 2012. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2012. 215 $a1 online resource (XIV, 798 p.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v6667 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-24784-9 320 $aIncludes bibliographical references and author index. 330 $aThis book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2011, held in Ein-Gedi, Israel in May/June 2011. The 24 revised full papers presented together with 44 poster papers were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on denoising and enhancement, segmentation, image representation and invariants, shape analysis, and optical flow. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v6667 606 $aOptical data processing 606 $aComputer graphics 606 $aPattern recognition 606 $aAlgorithms 606 $aData mining 606 $aComputers 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 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 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 615 0$aOptical data processing. 615 0$aComputer graphics. 615 0$aPattern recognition. 615 0$aAlgorithms. 615 0$aData mining. 615 0$aComputers. 615 14$aImage Processing and Computer Vision. 615 24$aComputer Graphics. 615 24$aPattern Recognition. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputation by Abstract Devices. 676 $a006.6 676 $a006.37 702 $aBruckstein$b Alfred M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $ater Haar Romeny$b Bart M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBronstein$b Alexander M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBronstein$b Michael M$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996466245403316 996 $aScale Space and Variational Methods in Computer Vision$9773149 997 $aUNISA