Computer vision for human-machine interaction

著者

書誌事項

Computer vision for human-machine interaction

edited by Roberto Cipolla and Alex Pentland

Cambridge University Press, 1998

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注記

Includes bibliographical references (p. 317-343)

内容説明・目次

内容説明

Advances in the field of computer vision are leading to radical changes in the way we interact with computers. At the time of this book's publication in 1998, it would soon be possible to enable a computer linked to a video camera to detect the presence of users, track faces, arms and hands in real time, and analyse expressions and gestures. The implications for interface design are immense and are expected to have major repercussions for all areas where computers are used, from the work place to recreation. This book collects the ideas and algorithms from the world's leading scientists, offering a glimpse of the radical changes that are round the corner and which will change the way we will interact with computers in the near future.

目次

  • Foreword
  • Preface
  • Part I. New Interfaces and Applications: 1. Smart rooms: machine understanding of human behavior A. Pentland
  • 2. GestureComputer - history, design and applications C. Maggioni, and B. Kammerer
  • 3. Human reader: a vision-based man-machine interface K. Mase
  • 4. Visual sensing of humans for active public interfaces K. Waters, J. Rehg, M. Loghlin, S. B. King, and D. Terzopoulos
  • 5. Pointing with uncalibrated stereo vision R. Cipolla, and N. J. Hollinghurst
  • Part II. Tracking Human Action: 6. Tracking faces A. Gee, and R. Cipolla
  • 7. Towards automated, real-time, facial animation B. Bascle, A. Blake, and J. Morris
  • 8. Interfacing through visual pointers C. Colombo, A. Del Bimbo, and S. De Magistris
  • 9. Monocular tracking of the human arm in 3D E. Di Bernado, L. Goncalves, and P. Perona
  • 10. Looking at people in action - an overview Y. Yacoob, L. Davis, M. Black, D. Gavrila, T. Horprasert, and C. Morimoto
  • Part III. Gesture Recognition and Interpretation: 11. A framework for gesture generation and interpretation J. Cassell
  • 12. Model-based interpreation of faces and hand gestures C. J. Taylor, A. Lanitis, T. F. Cootes, G. Edwards, and T. Ahmad
  • 13. Recognition of handsigns from complex backgrounds J. J. Weng, and Y. Cui
  • 14. Probabilistic models of verbal and body gestures C. Bregler, S. Omohundro, M. Covell, M. Slaney, S. Ahmad, D. Forsyth, and J. Feldman
  • 15. Looking at human gestures M. Yachida, Y. Iwai
  • Ackowledgements
  • Bibliography
  • List of contributors.

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