Analysis and Modelling of Faces and Gestures面部和手势的分析和模式

2005-11-14  

Springer  

Wenyi Zhao 著  

424  

　　This book constitutes the refereed proceedings of the Second International Workshop on Analysis and Modelling of Faces and Gestures, AMFG 2005, held in Beijing, China in October 2005 within the scope of ICCV 2005, the International Conference on Computer Vision. The 30 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 90 submissions. The papers give a survey of the status of recognition, analysis and modeling of face and gesture. The topics of these papers range from feature representation, robust recognition, learning, 3D modeling, to psychology.

Oral SessionsRepresentation Facial Expression Analysis (Invited Talk) Modeling Micro-patterns for Feature Extraction Facial Expression Analysis Using Nonlinear Decomposable Generative ModelsRecognition Kernel Correlation Filter Based Redundant Class-Dependence Feature Analysis (KCFA) on FRGC2.0 Data Learning to Use 3D+2D Based Face Recognition at Both Feature and Decision Levels A New Combinatorial Approach to Supervised Learning: Application to Gait RecognitionLearning Learning a Dynamic Classification Method to Detect Faces and Identify Facial Expression How to Train a Classifier Based on the Huge Face Database?3D Modeling Non-rigld 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 SessionsSession Ⅰ 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 ……Session ⅡAuthor Index

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