Analysis and Modelling of Faces and Gestures

Second International Workshop, AMFG 2005, Beijing, China, October 16, 2005. Proceedings

  • Wenyi Zhao
  • Shaogang Gong
  • Xiaoou Tang
Conference proceedings AMFG 2005

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3723)

Table of contents

  1. Front Matter
  2. Oral Sessions

    1. Representation

      1. Takeo Kanade
        Pages 1-1
      2. Qiong Yang, Dian Gong, Xiaoou Tang
        Pages 2-16
    2. Recognition

      1. Stan Z. Li, ChunShui Zhao, Meng Ao, Zhen Lei
        Pages 44-54
      2. Rong Zhang, Akshay Vashist, Ilya Muchnik, Casimir Kulikowski, Dimitris Metaxas
        Pages 55-69
    3. Learning

      1. Ramana Isukapalli, Ahmed Elgammal, Russell Greiner
        Pages 70-84
      2. Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao
        Pages 85-96
    4. 3D Modeling

      1. Alessio Del Bue, Xavier Lladó, Lourdes Agapito
        Pages 97-108
      2. Rik Fransens, Christoph Strecha, Luc Van Gool
        Pages 109-124
      3. Douglas Fidaleo, Gérard Medioni, Pascal Fua, Vincent Lepetit
        Pages 125-139
  3. Poster Sessions

    1. Session I

      1. Masahiro Nishiyama, Hiroaki Kawashima, Takatsugu Hirayama, Takashi Matsuyama
        Pages 140-154
      2. Kuang-Chih Lee, Baback Moghaddam
        Pages 155-169
      3. Junwen Wu, Mohan M. Trivedi
        Pages 213-228
      4. Zhanfeng Yue, Wenyi Zhao, Rama Chellappa
        Pages 229-243
      5. Chang Hong Liu, James Ward
        Pages 244-254

About these proceedings

Introduction

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

Keywords

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

Editors and affiliations

  • Wenyi Zhao
    • 1
  • Shaogang Gong
    • 2
  • Xiaoou Tang
    • 3
  1. 1.Intuitive Surgical IncSunnyvaleUSA
  2. 2.Shaogang Gong, Department of Computer ScienceQueen Mary, University of LondonLondonUK
  3. 3.Microsoft Research AsiaBeijingP.R. China

Bibliographic information

  • DOI https://doi.org/10.1007/11564386
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-29229-6
  • Online ISBN 978-3-540-32074-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book