LEADER 01428nam a2200301 i 4500 001 991003813879707536 005 20020509132628.0 008 990921s1996 us ||| | eng 035 $ab11219002-39ule_inst 035 $aPARLA189129$9ExL 040 $aDip.to Scienze Storiche Fil. e Geogr.$bita 110 2 $aDepartment of State, United States of America$0451780 245 10$aNear East, Africa :$bmicrofiche supplement /$cDepartment of State ; Editor Nina Davis Howland ; Nina J. Noring ; Harriet Dashiell Schwar ; general editor David S. Patterson 260 $aWashington :$bUnited States Government Printing office,$c1996 300 $axi, 203 p. ;$c20 cm. 490 0 $aForeign relations of the United States, 1961-1963 (Supplement) ;$v17, 18, 20, 21 500 $aSupplemento ai volumi 17, 18, 20 e 21 di : Foreign Relations of the United States, 1961-1963 (+ N? 29 microfiche) 650 4$aStati Uniti d'America$xRelazioni estere$y1961-1963 650 4$aStati Uniti d'America$xRelazioni estere - Oriente 700 1 $aHowland, Nina Davis 700 1 $aNoring, Nina J. 700 1 $aSchwar, Harriet Dashiell 907 $a.b11219002$b23-02-17$c01-07-02 912 $a991003813879707536 945 $aLE009$g1$i2009000015401$lle009$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i11372618$z01-07-02 996 $aNear East, Africa$9867770 997 $aUNISALENTO 998 $ale009$b01-01-99$cm$da $e-$feng$gus $h0$i1 LEADER 04684nam 22006735 450 001 9910254981503321 005 20200703110756.0 010 $a3-319-32598-1 024 7 $a10.1007/978-3-319-32598-9 035 $a(CKB)3710000000649245 035 $a(EBL)4509225 035 $a(SSID)ssj0001665735 035 $a(PQKBManifestationID)16454778 035 $a(PQKBTitleCode)TC0001665735 035 $a(PQKBWorkID)15000265 035 $a(PQKB)10337247 035 $a(DE-He213)978-3-319-32598-9 035 $a(MiAaPQ)EBC4509225 035 $a(PPN)19344674X 035 $a(EXLCZ)993710000000649245 100 $a20160419d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aComputer Models for Facial Beauty Analysis /$fby David Zhang, Fangmei Chen, Yong Xu 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (268 p.) 300 $aDescription based upon print version of record. 311 $a3-319-32596-5 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aOverview -- Typical Facial Beauty Analysis -- Facial Landmark Model Designs -- Geometrics Facial Beauty Study -- Putative Ratio Rules for Facial Beauty -- Beauty Analysis Fusion Model of Texture and Geometric Features -- Optimal Feature Set for Facial Beauty Analysis -- Examination of Averageness Hypothesis on Large Database -- A New Hypothesis on Facial Beauty Perception -- Beauty Analysis by Learning Machine and Subspace Extension -- Combining a Causal Effect Criterion for Evaluation of Facial Beauty Models -- Data-Driven Facial Beauty Analysis: Prediction, Retrieval and Manipulation -- A Facial Beauty Analysis Simulation System -- Book Review and Future Work. 330 $aThis book covers the key advances in computerized facial beauty analysis, with an emphasis on data-driven research and the results of quantitative experiments. It takes a big step toward practical facial beauty analysis, proposes more reliable and stable facial features for beauty analysis and designs new models, methods, algorithms and schemes while implementing a facial beauty analysis and beautification system. This book also tests some previous putative rules and models for facial beauty analysis by using computationally efficient mathematical models and algorithms, especially large scale database-based and repeatable experiments. The first section of this book provides an overview of facial beauty analysis. The base of facial beauty analysis, i.e., facial beauty features, is presented in part two. Part three describes hypotheses on facial beauty, while part four defines data-driven facial beauty analysis models. This book concludes with the authors explaining how to implement their new facial beauty analysis system. This book is designed for researchers, professionals and post graduate students working in the field of facial beauty analysis, computer vision, human-machine interface, pattern recognition and biometrics. Those involved in interdisciplinary fields with also find the contents useful. The ideas, means and conclusions for beauty analysis are valuable for researchers and the system design and implementation can be used as models for practitioners and engineers. 606 $aOptical data processing 606 $aBiometry 606 $aPattern perception 606 $aMultimedia systems 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aBiometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22040 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aMultimedia Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I18059 615 0$aOptical data processing. 615 0$aBiometry. 615 0$aPattern perception. 615 0$aMultimedia systems. 615 14$aImage Processing and Computer Vision. 615 24$aBiometrics. 615 24$aPattern Recognition. 615 24$aMultimedia Information Systems. 676 $a004 700 $aZhang$b David$4aut$4http://id.loc.gov/vocabulary/relators/aut$0763056 702 $aChen$b Fangmei$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aXu$b Yong$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910254981503321 996 $aComputer Models for Facial Beauty Analysis$92143736 997 $aUNINA