Face Recognition

From Theory to Applications

  • Harry Wechsler
  • P. Jonathon Phillips
  • Vicki Bruce
  • Françoise Fogelman Soulié
  • Thomas S. Huang

Part of the NATO ASI Series book series (volume 163)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Lectures

    1. Front Matter
      Pages 1-1
    2. Irving Biederman, Peter Kalocsai
      Pages 3-25
    3. J. Bigün, B. Duc, F. Smeraldi, S. Fischer, A. Makarov
      Pages 26-50
    4. Vicki Bruce, Peter J. B. Hancock, A. Mike Burton
      Pages 51-72
    5. Wenyi Zhao, Arvindh Krishnaswamy, Rama Chellappa, Daniel L. Swets, John Weng
      Pages 73-85
    6. Vladimir Cherkassky
      Pages 86-107
    7. Emmanuel Viennet, Françoise Fogelman Soulié
      Pages 124-156
    8. Yali Amit, Donald Geman, Bruno Jedynak
      Pages 157-173
    9. Antonio J. Colmenarez, Thomas S. Huang
      Pages 174-185
    10. Kazunori Okada, Johannes Steffens, Thomas Maurer, Hai Hong, Egor Elagin, Hartmut Neven et al.
      Pages 186-205
    11. Chahab Nastar
      Pages 206-229
    12. Baback Moghaddam, Alex Pentland
      Pages 230-243
    13. P. Jonathon Phillips, Hyeonjoon Moon, Syed Rizvi, Patrick Rauss
      Pages 244-261
    14. Massimo Tistarelli, Enrico Grosso
      Pages 262-286
    15. Marc Proesmans, Luc Van Gool
      Pages 287-309
    16. Thomas Vetter, Volker Blanz
      Pages 310-326
    17. Srinivas Gutta, Harry Wechsler
      Pages 327-347
    18. Jeffrey Huang, Chengjun Liu, Harry Wechsler
      Pages 348-377

About this book


The NATO Advanced Study Institute (ASI) on Face Recognition: From Theory to Applications took place in Stirling, Scotland, UK, from June 23 through July 4, 1997. The meeting brought together 95 participants (including 18 invited lecturers) from 22 countries. The lecturers are leading researchers from academia, govemment, and industry from allover the world. The lecturers presented an encompassing view of face recognition, and identified trends for future developments and the means for implementing robust face recognition systems. The scientific programme consisted of invited lectures, three panels, and (oral and poster) presentations from students attending the AS!. As a result of lively interactions between the participants, the following topics emerged as major themes of the meeting: (i) human processing of face recognition and its relevance to forensic systems, (ii) face coding, (iii) connectionist methods and support vector machines (SVM), (iv) hybrid methods for face recognition, and (v) predictive learning and performance evaluation. The goals of the panels were to provide links among the lectures and to emphasis the themes of the meeting. The topics of the panels were: (i) How the human visual system processes faces, (ii) Issues in applying face recognition: data bases, evaluation and systems, and (iii) Classification issues involved in face recognition. The presentations made by students gave them an opportunity to receive feedback from the invited lecturers and suggestions for future work.


Support Vector Machine algorithms cognition computer vision evolution facial recognition image processing learning machine learning neural networks object recognition pattern pattern recognition perception psychophysics

Editors and affiliations

  • Harry Wechsler
    • 1
  • P. Jonathon Phillips
    • 2
  • Vicki Bruce
    • 3
  • Françoise Fogelman Soulié
    • 4
  • Thomas S. Huang
    • 5
  1. 1.Department of Computer ScienceGeorge Mason UniversityFairfaxUSA
  2. 2.NISTGaithersburgUSA
  3. 3.Department of PsychologyUniversity of StirlingStirlingScotland, UK
  4. 4.Atos Ingénierie IntegrationClamart CedexFrance
  5. 5.Beckman Institute for Advanced Science and TechnologyUniversity of Illinois at Urbana-ChampaignUrbanaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-72201-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 1998
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-72203-5
  • Online ISBN 978-3-642-72201-1
  • About this book