Computer Vision for Human-Machine Interaction

Leading scientists describe how advances in computer vision can change how we interact with computers.

Roberto Cipolla (Edited by), Alex Pentland (Edited by)

9780521622530, Cambridge University Press

Hardback, published 13 July 1998

362 pages, 95 b/w illus.
22.9 x 15.2 x 2.4 cm, 0.71 kg

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.

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. Kämmerer
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.

Subject Areas: Human-computer interaction [UYZ], Computer vision [UYQV]