Advances in Computer Vision
Computer vision solutions used to be very specific and difficult to adapt to different or even unforeseen situations. The current development is calling for simple to use yet robust applications that could be employed in various situations. This trend req
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F. Solina W. G. Kropatsch R. Klette R. Bajcsy (eds.) Advances in Computer Vision
SpringerWienNewYork
Prof. Dr. Franc Solina Faculty of Computer and Infonnation Science, University of Ljubljana, Ljubljana, Slovenia
Prof. Dr. Walter G. Kropatsch Abt. Mustererkennung und Bildverarbeitung, TV Wien, Vienna, Austria
Prof. Dr. Reinhard Klette Computer Science Department, Auckland University, Auckland, New Zealand
Prof. Dr. Ruzena Bajcsy Computer and Infonnation Science, GRASP Laboratory, University of Pennsylvania, Philadelphia, USA
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically those of translation, reprinting, re-use of illustrations, broadcasting, reproduction by photocopying machines or similar means, and storage in data banks. © 1997 Springer-VerlaglWien Typesetting: Camera-ready by authors
Graphic design: Ecke Bonk Printed on acid-free and chlorine-free bleached paper SPIN: 10631594
With 96 Figures
ISSN 1433-0113
ISBN-13:978-3-211-83022-2 e-ISBN-13:978-3-7091-6867-7 DOl: 10.1007/978-3-7091-6867-7
Preface Computer vision used to be a rather small and exclusive research area focused mainly on theoretical issues and on solving problems for large and wealthy costumers such as manufacturing companies and the military who could afford the high costs. But expensive special image capture and computing hardware is now no longer required. Low cost video cameras, powerful personal computers and highspeed computer networks are making images ubiquitous in every possible application domain. Besides more traditional application domains such as manufacturing, robotics, medicine and security, newer ones such as virtual reality, tele-presence and image databases I'l-re in vogue. Computer vision solutions used to be very specific and difficult to adapt to other or even unforeseen situations. The current development is calling for simple to use yet robust applications that could be employed in various situations. This trend requires the reassessment of some theoretical issues in computer vision. A better general understanding of vision processes, new insights and better theories are needed. This volume contains a selection of papers presented at the eight overall "Theoretical Foundations of Computer Vision" meeting and the second in the castle of Dagstuhl in March 1996. The aim of this meeting was to bring together scientists in computer vision from the West and from the former eastern block countries. The organizers believed that there was still a certain ignorance of each other's work and that such face to face meetings are beneficial to all participants and to the whole computer vision field. The organizers feel that this goal was achieved and that the road to more direct contacts and exchanges between researchers and students is now open. Due to this goal the meeting covered a broad variety of computer vision topics. As the title of the meeting suggests most of the papers have a strong theoretical flavor but with some very real world imp