An Introduction to Object Recognition Selected Algorithms for a Wide
Rapid development of computer hardware has enabled usage of automatic object recognition in an increasing number of applications, ranging from industrial image processing to medical applications, as well as tasks triggered by the widespread use of the int
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For further volumes: http://www.springer.com/series/4205
Marco Treiber
An Introduction to Object Recognition Selected Algorithms for a Wide Variety of Applications
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Marco Treiber Siemens Electronics Assembly Systems GmbH & Co. KG Rupert-Mayer-Str. 44 81359 Munich Germany [email protected] [email protected]
Series editor Professor Sameer Singh, PhD Research School of Informatics Loughborough University Loughborough, UK
ISSN 1617-7916 ISBN 978-1-84996-234-6 e-ISBN 978-1-84996-235-3 DOI 10.1007/978-1-84996-235-3 Springer London Dordrecht Heidelberg New York British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Control Number: 2010929853 © Springer-Verlag London Limited 2010 Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licenses issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers. The use of 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 laws and regulations and therefore free for general use. The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
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Preface
Object recognition (OR) has been an area of extensive research for a long time. During the last decades, a large number of algorithms have been proposed. This is due to the fact that, at a closer look, “object recognition” is an umbrella term for different algorithms designed for a great variety of applications, where each application has its specific requirements and constraints. The rapid development of computer hardware has enabled the usage of automatic object recognition in more and more applications ranging from industrial image processing to medical applications as well as tasks triggered by the widespread use of the internet, e.g., retrieval of images from the web which are similar to a query image. Alone the mere enumeration of these areas of application shows clearly that each of these tasks has its specific requirements, and, consequently, they cannot be tackled appropriately by a single general-purpose algorithm. This book intends to demonstrate the diversity of applications as well as to highlight some important algorithm classes by presenting some representative example algorithms for each class. An important aspect of this book is that it ai
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