Machine Vision Beyond Visible Spectrum
The material of this book encompasses many disciplines, including visible, infrared, far infrared, millimeter wave, microwave, radar, synthetic aperture radar, and electro-optical sensors as well as the very dynamic topics of image processing, computer vi
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Series Editors Riad I. Hammoud, DynaVox Technologies, Pittsburgh, PA, USA Lawrence B. Wolff, Equinox Corporation, New York, USA
For further volumes: http://www.springer.com/series/8612
Riad Hammoud Guoliang Fan Robert W. McMillan Katsushi Ikeuchi •
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Editors
Machine Vision Beyond Visible Spectrum
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Editors Dr. Riad Hammoud DynaVox Mayer-Johnson Wharton Street 2100 Pittsburgh PA 15203 USA e-mail: [email protected] Guoliang Fan School of Electrical and Computer Engineering Oklahoma State University 202 Engineering South Stillwater OK USA e-mail: [email protected]
ISSN 2190-5916 ISBN 978-3-642-11567-7 DOI 10.1007/978-3-642-11568-4
Robert W. McMillan U.S. Army Space and Missile Defense Command PO Box 1500 Huntsville AB 35807-3801 USA e-mail: [email protected] Dr. Katsushi Ikeuchi Institute of Industrial Science University of Tokyo Komaba 4-6-1 Meguro-ku, Tokyo 153-8505 Japan e-mail: [email protected]
e-ISSN 2190-5924 e-ISBN 978-3-642-11568-4
Springer Heidelberg Dordrecht London New York Ó Springer-Verlag Berlin Heidelberg 2011 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Cover design: eStudio Calamar, Berlin/Figueres Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
The genesis of this book on ‘‘Machine Vision Beyond the Visible Spectrum’’ is the successful series of seven workshops on Object Tracking and Classification Beyond the Visible Spectrum (OTCBVS) held as part of the IEEE annual Conference on Computer Vision and Pattern Recognition (CVPR) from 2004 through 2010. Machine Vision Beyond the Visible Spectrum requires processing data from many different types of sensors, including visible, infrared, far infrared, millimeter wave, microwave, radar, and synthetic aperture radar sensors. It involves the creation of new and innovative approaches to the fields of signal processing and artificial intelligence. It is a fertile area for growth in both analysis and experimentation and includes both civilian and military applications. The availability of ever improving computer resources and continuing improvement in sensor performance has given great impetus to this field of research. The dynamics of technology ‘‘push’’ and ‘‘
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