LEADER 07079nam 22007575 450 001 996466218903316 005 20200703165959.0 024 7 $a10.1007/11564386 035 $a(CKB)1000000000213300 035 $a(SSID)ssj0000316217 035 $a(PQKBManifestationID)11205447 035 $a(PQKBTitleCode)TC0000316217 035 $a(PQKBWorkID)10274868 035 $a(PQKB)10298443 035 $a(DE-He213)978-3-540-32074-6 035 $a(MiAaPQ)EBC3067952 035 $a(PPN)123098009 035 $a(EXLCZ)991000000000213300 100 $a20100319d2005 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAnalysis and Modelling of Faces and Gestures$b[electronic resource] $eSecond International Workshop, AMFG 2005, Beijing, China, October 16, 2005, Proceedings /$fedited by Wenyi Zhao, Shaogang Gong, Xiaou Tang 205 $a1st ed. 2005. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2005. 215 $a1 online resource (XI, 424 p.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v3723 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-32074-1 311 $a3-540-29229-2 320 $aIncludes bibliographical references and index. 327 $aOral 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. 330 $aDuring the last 30 years, face recognition and related problems such as face detection/tracking and facial expression recognition have attracted researchers from both the engineering and psychology communities. In addition, extensive research has been carried out to study hand and body gestures. The understanding of how humans perceive these important cues has significant scientific value and extensive applications. For example, human-computer interaction, visual surveillance, and smart video indexing are active application areas. Aiming towards putting such amazing perception capability onto computer systems, researchers have made substantial progress. However, technological challenges still exist in many aspects. Following a format similar to the IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG) 2003, this one-day workshop (AMFG 2005) provided a focused international forum to bring together well-known researchers and research groups to review the status of recognition, analysis and modeling of faces and gestures, to discuss the challenges that we are facing, and to explore future directions. Overall, 30 papers were selected from 90 submitted manuscripts. The topics of these papers range from feature representation, robust recognition, learning, and 3D modeling to psychology. In addition, two invited talks were given, by Prof. Kanade and Dr. Phillips. The technical program was organized into four oral sessions and two poster sessions. This workshop would not have been possible without the timely reviews provided by the members of the Technical Program Committee under a tight schedule. October 2005 Wenyi Zhao Shaogang Gong Xiaoou Tang. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v3723 606 $aPattern recognition 606 $aOptical data processing 606 $aArtificial intelligence 606 $aComputer graphics 606 $aAlgorithms 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 615 0$aPattern recognition. 615 0$aOptical data processing. 615 0$aArtificial intelligence. 615 0$aComputer graphics. 615 0$aAlgorithms. 615 14$aPattern Recognition. 615 24$aImage Processing and Computer Vision. 615 24$aArtificial Intelligence. 615 24$aComputer Graphics. 615 24$aAlgorithm Analysis and Problem Complexity. 676 $a006.4 686 $a54.74$2bcl 702 $aZhao$b Wenyi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGong$b Shaogang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTang$b Xiaou$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aIEEE International Workshop on Analysis and Modeling of Faces and Gestures 906 $aBOOK 912 $a996466218903316 996 $aAnalysis and Modelling of Faces and Gestures$9772421 997 $aUNISA