01342nam2 2200277 i 450 SUN006986520140707115419.66720090505d1991 |0itac50 baitaIT|||| |||||ˆ2: La ‰relazione della Commissione d'inchiesta[Roma] : CDArchivio storico[1991]XVI853 p. ; 24 cmIn custodia.001SUN00698672001 Fonti di storia parlamentare210 RomaCamera dei Deputati.001SUN00698642001 Commissione parlamentare d'inchiesta sulle terre liberate e redenteluglio 1920-giugno 19222205 [Roma] : CDArchivio storico[1991]210 2 v. ; 24 cm215 In testa al front.: Camera dei deputati.Scienze della politicaSGSUNC029790RomaSUNL000360Camera dei deputatiSUNV000622650ITSOL20181109RICASUN0069865UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI SCIENZE POLITICHE JEAN MONNET04 CONS 3A.1.22 04 OM 904 UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI SCIENZE POLITICHE JEAN MONNETOM904CONS 3A.1.22caRelazione della Commissione d'inchiesta1436199UNICAMPANIA07079nam 22007575 450 99646621890331620200703165959.010.1007/11564386(CKB)1000000000213300(SSID)ssj0000316217(PQKBManifestationID)11205447(PQKBTitleCode)TC0000316217(PQKBWorkID)10274868(PQKB)10298443(DE-He213)978-3-540-32074-6(MiAaPQ)EBC3067952(PPN)123098009(EXLCZ)99100000000021330020100319d2005 u| 0engurnn|008mamaatxtccrAnalysis and Modelling of Faces and Gestures[electronic resource] Second International Workshop, AMFG 2005, Beijing, China, October 16, 2005, Proceedings /edited by Wenyi Zhao, Shaogang Gong, Xiaou Tang1st ed. 2005.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2005.1 online resource (XI, 424 p.) Image Processing, Computer Vision, Pattern Recognition, and Graphics ;3723Bibliographic Level Mode of Issuance: Monograph3-540-32074-1 3-540-29229-2 Includes bibliographical references and index.Oral Sessions -- Facial Expression Analysis -- Modeling Micro-patterns for Feature Extraction -- Facial Expression Analysis Using Nonlinear Decomposable Generative Models -- Kernel Correlation Filter Based Redundant Class-Dependence Feature Analysis (KCFA) on FRGC2.0 Data -- Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels -- A New Combinatorial Approach to Supervised Learning: Application to Gait Recognition -- Learning a Dynamic Classification Method to Detect Faces and Identify Facial Expression -- How to Train a Classifier Based on the Huge Face Database? -- Non-rigid Face Modelling Using Shape Priors -- Parametric Stereo for Multi-pose Face Recognition and 3D-Face Modeling -- An Investigation of Model Bias in 3D Face Tracking -- Poster Sessions -- Facial Expression Representation Based on Timing Structures in Faces -- A Practical Face Relighting Method for Directional Lighting Normalization -- Face Recognition Based on Local Steerable Feature and Random Subspace LDA -- Online Feature Selection Using Mutual Information for Real-Time Multi-view Object Tracking -- A Binary Decision Tree Implementation of a Boosted Strong Classifier -- Robust Facial Landmark Detection for Intelligent Vehicle System -- Pose-Encoded Spherical Harmonics for Robust Face Recognition Using a Single Image -- Advantages of 3D Methods for Face Recognition Research in Humans -- The CMU Face In Action (FIA) Database -- Robust Automatic Human Identification Using Face, Mouth, and Acoustic Information -- AdaBoost Gabor Fisher Classifier for Face Recognition -- Automatic 3D Facial Expression Analysis in Videos -- Real-Time Modeling of Face Deformation for 3D Head Pose Estimation -- An Integrated Two-Stage Framework for Robust Head Pose Estimation -- Gabor-Eigen-Whiten-Cosine: A Robust Scheme for Face Recognition -- Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition -- Face View Synthesis Across Large Angles -- Regularization of LDA for Face Recognition: A Post-processing Approach -- Linear Programming for Matching in Human Body Gesture Recognition -- Combination of Projectional and Locational Decompositions for Robust Face Recognition.During the last 30 years, face recognition and related problems such as face detection/tracking and facial expression recognition have attracted researchers from both the engineering and psychology communities. In addition, extensive research has been carried out to study hand and body gestures. The understanding of how humans perceive these important cues has significant scientific value and extensive applications. For example, human-computer interaction, visual surveillance, and smart video indexing are active application areas. Aiming towards putting such amazing perception capability onto computer systems, researchers have made substantial progress. However, technological challenges still exist in many aspects. Following a format similar to the IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG) 2003, this one-day workshop (AMFG 2005) provided a focused international forum to bring together well-known researchers and research groups to review the status of recognition, analysis and modeling of faces and gestures, to discuss the challenges that we are facing, and to explore future directions. Overall, 30 papers were selected from 90 submitted manuscripts. The topics of these papers range from feature representation, robust recognition, learning, and 3D modeling to psychology. In addition, two invited talks were given, by Prof. Kanade and Dr. Phillips. The technical program was organized into four oral sessions and two poster sessions. This workshop would not have been possible without the timely reviews provided by the members of the Technical Program Committee under a tight schedule. October 2005 Wenyi Zhao Shaogang Gong Xiaoou Tang.Image Processing, Computer Vision, Pattern Recognition, and Graphics ;3723Pattern recognitionOptical data processingArtificial intelligenceComputer graphicsAlgorithmsPattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XImage Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computer Graphicshttps://scigraph.springernature.com/ontologies/product-market-codes/I22013Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Pattern recognition.Optical data processing.Artificial intelligence.Computer graphics.Algorithms.Pattern Recognition.Image Processing and Computer Vision.Artificial Intelligence.Computer Graphics.Algorithm Analysis and Problem Complexity.006.454.74bclZhao Wenyiedthttp://id.loc.gov/vocabulary/relators/edtGong Shaogangedthttp://id.loc.gov/vocabulary/relators/edtTang Xiaouedthttp://id.loc.gov/vocabulary/relators/edtIEEE International Workshop on Analysis and Modeling of Faces and GesturesBOOK996466218903316Analysis and Modelling of Faces and Gestures772421UNISA