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2011人脸识别新书 Handbook of Face Recognition 2nd
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2011人脸识别新书 :Handbook of Face Recognition, 2nd edition; 作者:Stan Z. Li Anil K. Jain
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Handbook of Face Recognition
Stan Z. Li
Anil K. Jain
Editors
Handbook of
Face Recognition
Second Edition
Editors
Stan Z. Li
Institute of Automation, Center Biometrics
Research & Security
Chinese Academy of Science
Room 1227, No. 95 Zhongguancun East Rd
Beijing 100190
People’s Republic of China
szli@cbsr.ia.ac.cn
Anil K. Jain
Dept. Computer Science & Engineering
Michigan State University
East Lansing, MI 48824-1226
USA
jain@cse.msu.edu
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 per-
mitted 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 publish-
ers, 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.
Cover design: VTeX UAB, Lithuania
Printed on acid-free paper
Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Face recognition is one of the most important abilities that we use in our daily lives.
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. Research in automatic
face recognition started in the 1960s. Recent years have seen significant progress
in this area and a number of face recognition and modeling systems have been de-
veloped and deployed. However, accurate and robust face recognition still offers a
number of challenges to computer vision and pattern recognition researchers, espe-
cially under unconstrained environments.
This book is written with two primary motivations. The first is to compile major
approaches, algorithms, and technologies available for automated face recognition.
The second is to provide a reference book to students, researchers, and practitioners.
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. It also pro-
vides references for scientists and engineers working in image processing, computer
vision, biometrics and security, computer graphics, animation, and the computer
game industry. The material contained in the book fits the following categories: ad-
vanced tutorial, state-of-the-art survey, and a guide to current technology.
This second edition consists of twenty seven chapters, with additions and up-
dates from the sixteen chapters in the first edition. It covers all the subareas and
major components necessary for developing face recognition algorithms, designing
operational systems, and addressing related issues in large scale applications. Each
chapter focuses on a specific topic or system component, introduces background in-
formation, reviews up-to-date techniques, presents results, and points out challenges
and future directions.
The twenty seven chapters are divided into four parts according to the main prob-
lems addressed. Part I, Face Image Modeling and Representation, consists of ten
chapters, presenting theories in face image modeling and facial feature representa-
tion. Part II, Face Recognition Techniques, also consists of ten chapters, presenting
techniques for face detection, landmark detection, and face recognition in static face
v
vi Preface
images, in video, in non-visible spectrum images, and in 3D. Part III, Performance
Evaluation: Machines and Humans, consists of three chapters, presenting methods
and programs for face recognition evaluation and also studies and comparisons with
human performance. Part IV, Face Recognition Applications, consists of four chap-
ters, presenting various applications of face recognition and related issues.
A project like this requires the efforts and support of many individuals and or-
ganizations. First of all, we would like to thank all the authors for their outstanding
contributions which made this edition possible. We also thank Wayne Wheeler and
Simon Rees, the Springer editors for their support and patience during the course
of this project. Thanks are also due to a number of individuals who have assisted us
during the editing phase of this project, including Shikun Feng, Shengcai Liao, Xi-
angsheng Huang, Brendan Klare, Unsang Park, Abhishek Nagar, and not the least
Kim Thompson for her careful proofreading of the manuscript. Stan Z. Li would
like to acknowledge the support of the Chinese National Natural Science Foun-
dation Project #61070146, the National Science and Technology Support Program
Project #2009BAK43B26, the AuthenMetric R&D Funds, and the TABULA RASA
project (http://www.tabularasa-euproject.org) under the Seventh Framework Pro-
gramme for research and technological development (FP7) of the European Union
(EU), grant agreement #257289. Anil Jain’s research was partially supported by
the WCU (World Class University) program funded by the Ministry of Education,
Science and Technology through the National Research Foundation of Korea (R31-
10008) to the Brain & Cognitive Engineering Department, Korea University where
he is an Adjunct Professor.
Stan Z. Li
Anil K. Jain
Beijing, People’s Republic of China
East Lansing, USA
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