![]() ![]() This second edition consists of twenty seven chapters, with additions and updates from the sixteen chapters in the first edition. The material contained in the book fits the following categories: advanced tutorial, state-of-the-art survey, and a guide to current technology. It also provides references for scientists and engineers working in image processing, computer vision, biometrics and security, computer graphics, animation, and the computer game industry. The book is intended for anyone who plans to work in face recognition or who wants to become familiar with the state-of-the-art in face recognition. The second is to provide a reference book to students, researchers, and practitioners. The first is to compile major approaches, algorithms, and technologies available for automated face recognition. This book is written with two primary motivations. However, accurate and robust face recognition still offers a number of challenges to computer vision and pattern recognition researchers, especially under unconstrained environments. Recent years have seen significant progress in this area and a number of face recognition and modeling systems have been developed and deployed. Research in automatic face recognition started in the 1960s. #GOOGLE APP ENGINE SDK 19.3.7 VERIFICATION#There are several reasons for the growing interest in automated face recognition, including rising concerns for public security, the need for identity verification for physical and logical access, and the need for face analysis and modeling techniques in multimedia data management and digital entertainment. ![]() Cover design: VTeX UAB, Lithuania Printed on acid-free paper Springer is part of Springer Science+Business Media (Prefaceįace recognition is one of the most important abilities that we use in our daily lives. ![]() 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. #GOOGLE APP ENGINE SDK 19.3.7 FREE#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. Enquiries concerning reproduction outside those terms should be sent to the publishers. ISBN 978-0-85729-931-4 e-ISBN 978-0-85729-932-1 DOI 10.1007/978-0-85729-932-1 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: 2011936022 © Springer-Verlag London Limited 2011 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. Computer Science & Engineering Michigan State University East Lansing, MI 48824-1226 USA ![]() 95 Zhongguancun East Rd Beijing 100190 People’s Republic of China Īnil K. Li Institute of Automation, Center Biometrics Research & Security Chinese Academy of Science Room 1227, No. Handbook of Face Recognition Second EditionĮditors Stan Z. ![]()
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