Analysis and Modelling of Faces and Gestures

1. Front Matter

   PDF

2. Oral Sessions

   1. Representation

      1. Facial Expression Analysis

         • Takeo Kanade

         Pages 1-1

      2. Modeling Micro-patterns for Feature Extraction

         • Qiong Yang, Dian Gong, Xiaoou Tang

         Pages 2-16

      3. Facial Expression Analysis Using Nonlinear Decomposable Generative Models

         • Chan-Su Lee, Ahmed Elgammal

         Pages 17-31

   2. Recognition

      1. Kernel Correlation Filter Based Redundant Class-Dependence Feature Analysis (KCFA) on FRGC2.0 Data

         • Chunyan Xie, Marios Savvides, B. V. K. VijayaKumar

         Pages 32-43

      2. Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels

         • Stan Z. Li, ChunShui Zhao, Meng Ao, Zhen Lei

         Pages 44-54

      3. A New Combinatorial Approach to Supervised Learning: Application to Gait Recognition

         • Rong Zhang, Akshay Vashist, Ilya Muchnik, Casimir Kulikowski, Dimitris Metaxas

         Pages 55-69

   3. Learning

      1. Learning a Dynamic Classification Method to Detect Faces and Identify Facial Expression

         • Ramana Isukapalli, Ahmed Elgammal, Russell Greiner

         Pages 70-84

      2. How to Train a Classifier Based on the Huge Face Database?

         • Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao

         Pages 85-96

   4. 3D Modeling

      1. Non-rigid Face Modelling Using Shape Priors

         • Alessio Del Bue, Xavier Lladó, Lourdes Agapito

         Pages 97-108

      2. Parametric Stereo for Multi-pose Face Recognition and 3D-Face Modeling

         • Rik Fransens, Christoph Strecha, Luc Van Gool

         Pages 109-124

      3. An Investigation of Model Bias in 3D Face Tracking

         • Douglas Fidaleo, Gérard Medioni, Pascal Fua, Vincent Lepetit

         Pages 125-139

3. Poster Sessions

   1. Session I

      1. Facial Expression Representation Based on Timing Structures in Faces

         • Masahiro Nishiyama, Hiroaki Kawashima, Takatsugu Hirayama, Takashi Matsuyama

         Pages 140-154

      2. A Practical Face Relighting Method for Directional Lighting Normalization

         • Kuang-Chih Lee, Baback Moghaddam

         Pages 155-169

      3. Face Recognition Based on Local Steerable Feature and Random Subspace LDA

         • Xiaoxun Zhang, Yunde Jia

         Pages 170-183

      4. Online Feature Selection Using Mutual Information for Real-Time Multi-view Object Tracking

         • Alex Po Leung, Shaogang Gong

         Pages 184-197

      5. A Binary Decision Tree Implementation of a Boosted Strong Classifier

         • S. Kevin Zhou

         Pages 198-212

      6. Robust Facial Landmark Detection for Intelligent Vehicle System

         • Junwen Wu, Mohan M. Trivedi

         Pages 213-228

      7. Pose-Encoded Spherical Harmonics for Robust Face Recognition Using a Single Image

         • Zhanfeng Yue, Wenyi Zhao, Rama Chellappa

         Pages 229-243

      8. Advantages of 3D Methods for Face Recognition Research in Humans

         • Chang Hong Liu, James Ward

         Pages 244-254

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

• 3D
• 3D modeling
• 3D vision
• Computer Vision
• classification
• cognition
• face recognition
• gesture recognition
• image analysis
• learning
• modeling
• motion analysis
• pattern rec
• programming
• real-time
• algorithm analysis and problem complexity

• Intuitive Surgical Inc, Sunnyvale, USA

  Wenyi Zhao

• Shaogang Gong, Department of Computer Science, Queen Mary, University of London, London, UK

  Shaogang Gong

• Microsoft Research Asia, Beijing, P.R. China

  Xiaoou Tang

Policies and ethics