LEADER 06313nam a22006255i 4500001 99125189441506421 005 20251226202342.0 006 m o d | 007 cr nn 008mamaa 008 100319s2005 gw | o |||| 0|eng d 024 7 10.1007/11564386 |2doi 035 (CKB)1000000000213300 035 (SSID)ssj0000316217 035 (PQKBManifestationID)11205447 035 (PQKBTitleCode)TC0000316217 035 (PQKBWorkID)10274868 035 (PQKB)10298443 035 (DE-He213)978-3-540-32074-6 035 (MiAaPQ)EBC3067952 035 (PPN)123098009 035 (EXLCZ)991000000000213300 040 MiAaPQ |beng |erda |epn |cMiAaPQ |dMiAaPQ 041 eng 050 4 TA1650 |b.I34 2005 072 7 UYQP |2bicssc 072 7 COM016000 |2bisacsh 082 04 006.4 |223 084 54.74 |2bcl 110 IEEE International Workshop on Analysis and Modeling of Faces and Gestures |eCorporate Author 111 2 IEEE International Workshop on Analysis and Modeling of Faces and Gestures |n(2nd : |d2005 : |cBeijing, China) 245 10 Analysis and Modelling of Faces and Gestures : |bSecond International Workshop, AMFG 2005, Beijing, China, October 16, 2005, Proceedings / |cedited by Wenyi Zhao, Shaogang Gong, Xiaou Tang. 250 1st ed. 2005. 264 1 Berlin, Heidelberg : |bSpringer Berlin Heidelberg : |bImprint: Springer, |c2005. 300 1 online resource (XI, 424 p.) 336 text |btxt 337 computer |bc 338 online resource |bcr 490 1 Image Processing, Computer Vision, Pattern Recognition, and Graphics, |x3004-9954 ; |v3723 500 Bibliographic Level Mode of Issuance: Monograph 504 Includes bibliographical references and index. 505 0 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. 520 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. 546 English 650 0 Pattern recognition systems. 650 0 Computer vision. 650 0 Artificial intelligence. 650 0 Computer graphics. 650 0 Algorithms. 650 14 Automated Pattern Recognition. 650 24 Computer Vision. 650 24 Artificial Intelligence. 650 24 Computer Graphics. 650 24 Algorithms. 700 1 Zhao, Wenyi, |d1969- 700 1 Gong, Shaogang. 700 1 Tang, Xiaoou. 711 IEEE International Workshop on Analysis and Modeling of Faces and Gestures 760 0 |tLecture Notes in Computer Science |w(CKB)954928560451 |w(DLC)sf92020465 |x1611-3349 776 08 |z3-540-32074-1 776 08 |z3-540-29229-2 830 0 Image Processing, Computer Vision, Pattern Recognition, and Graphics, |x3004-9954 ; |v3723 906 BOOK