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Computer Vision for Human-Machine Interaction - Roberto Cipolla

Computer Vision for Human-Machine Interaction

By: Roberto Cipolla (Editor), Alex Pentland (Editor)

Hardcover

Published: 13th July 1998
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Recent advances in the field of computer vision are leading to novel and radical changes in the way we interact with computers. It will 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 analyze 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 ideas and algorithms from the world's leading scientists, offering a glimpse of the radical changes around the corner that will alter the way we interact with computers in the near future.

Foreword
Preface
New Interfaces and Applications
Smart rooms: machine understanding of human behavior
GestureComputer - history, design and applications
Human reader: a vision-based man-machine interface
Visual sensing of humans for active public interfaces
Pointing with uncalibrated stereo vision
Tracking Human Action
Tracking faces A. Gee, and R. Cipolla
Towards automated, real-time, facial animation
Interfacing through visual pointers
Monocular tracking of the human arm in 3D
Looking at people in action - an overview
Gesture Recognition and Interpretation
A framework for gesture generation and interpretation
Model-based interpreation of faces and hand gestures
Recognition of handsigns from complex backgrounds
Probabilistic models of verbal and body gestures
Looking at human gestures
Ackowledgements
Bibliography
List of contributors
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9780521622530
ISBN-10: 0521622530
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 362
Published: 13th July 1998
Publisher: Cambridge University Press
Country of Publication: GB
Dimensions (cm): 22.8 x 15.2  x 2.4
Weight (kg): 0.7