LEADER 01233nam a2200313 i 4500 001 991003799329707536 008 200423s1989 de ||| | eng d 020 $a9783540192015 035 $ab14389484-39ule_inst 040 $aBibl. Dip.le Aggr. Matematica e Fisica - Sez. Fisica$beng 082 04$a530.1'2 084 $a53.1.4 084 $a53.3.1 084 $aLC QC19.3 100 1 $aGreiner, Walter$029887 245 10$aQuantum mechanics :$bsymmetries /$cWalter Greiner, Berndt Müller 260 $aBerlin :$bSpringer-Verlag,$c1989 300 $axvi, 368 p. :$bill. ;$c25 cm 490 0 $aTheoretical physics ;$v2 500 $aIncludes bibliographical references and index 500 $aOriginal German edition published by Verlag Harri Deutsch, Thun 1989 650 4$aQuantum theory 700 1 $aMüller, Berndt$eauthor$4http://id.loc.gov/vocabulary/relators/aut$047380 907 $a.b14389484$b13-01-21$c23-04-20 912 $a991003799329707536 945 $aLE006 Fondo Polezzo 182$cEx libris Stefano Polezzo$g1$i2006000186513$lle006$og$pE65.52$q-$rl$s- $t0$u0$v0$w0$x0$y.i15946071$z13-01-21 996 $aQuantum mechanics$91445039 997 $aUNISALENTO 998 $ale006$b23-04-20$cm$da $e-$feng$gde $h0$i0 LEADER 03908nam 2200625 a 450 001 9910484940403321 005 20200520144314.0 010 $a3-540-68795-5 024 7 $a10.1007/11957959 035 $a(CKB)1000000000284034 035 $a(SSID)ssj0000320441 035 $a(PQKBManifestationID)11286220 035 $a(PQKBTitleCode)TC0000320441 035 $a(PQKBWorkID)10249490 035 $a(PQKB)10856806 035 $a(DE-He213)978-3-540-68795-5 035 $a(MiAaPQ)EBC3068562 035 $a(PPN)123140129 035 $a(EXLCZ)991000000000284034 100 $a20061109d2006 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aToward category-level object recognition /$fJean Ponce ... [et al.] (eds.) 205 $a1st ed. 2006. 210 $aBerlin ;$aNew York $cSpringer$dc2006 215 $a1 online resource (XI, 620 p.) 225 1 $aLecture notes in computer science,$x0302-9743 ;$v4170 225 1 $aLNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics 300 $a"Outcome of two workshops that were held in Taormina in 2003 and 3004"--Pref. 311 $a3-540-68794-7 320 $aIncludes bibliographical references and index. 327 $apt. 1. Introduction -- pt. 2. Recognition of specific objects -- pt. 3. Recognition of object categories -- pt. 4. Recognition of object categories with geometric relations -- pt. 5. Joint recognition and segmentation. 330 $aAlthough research in computer vision for recognizing 3D objects in photographs dates back to the 1960s, progress was relatively slow until the turn of the millennium, and only now do we see the emergence of effective techniques for recognizing object categories with different appearances under large variations in the observation conditions. Tremendous progress has been achieved in the past five years, thanks largely to the integration of new data representations, such as invariant semi-local features, developed in the computer vision community with the effective models of data distribution and classification procedures developed in the statistical machine-learning community. This volume is a post-event proceedings volume and contains selected papers based on presentations given, and vivid discussions held, during two workshops held in Taormina in 2003 and 2004. The main goals of these two workshops were to promote the creation of an international object recognition community, with common datasets and evaluation procedures, to map the state of the art and identify the main open problems and opportunities for synergistic research, and to articulate the industrial and societal needs and opportunities for object recognition research worldwide. The 30 thoroughly revised papers presented are organized in the following topical sections: recognition of specific objects, recognition of object categories, recognition of object categories with geometric relations, and joint recognition and segmentation. 410 0$aLecture notes in computer science ;$v4170. 410 0$aLNCS sublibrary.$nSL 6,$pImage processing, computer vision, pattern recognition, and graphics. 606 $aComputer vision$vCongresses 606 $aPattern recognition systems$vCongresses 606 $aImage processing$xDigital techniques$vCongresses 606 $aObject-oriented methods (Computer science)$vCongresses 615 0$aComputer vision 615 0$aPattern recognition systems 615 0$aImage processing$xDigital techniques 615 0$aObject-oriented methods (Computer science) 676 $a006.3/7 701 $aPonce$b Jean$066811 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484940403321 996 $aToward category-level object recognition$94187265 997 $aUNINA