3D Object Processing: Compression, Indexing and Watermarking / Edition 1

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Overview

The arrival, and continuing evolution, of high quality 3D objects has been made possible by recent progress in 3D scanner acquisition and 3D graphics rendering.    With this increasing quality comes a corresponding increase in the size and complexity of the data files and the necessity for advances in compression techniques. Effective indexing to facilitate the retrieval of the 3D data is then required to efficiently store, search and recapture the objects that have been compressed. The application of 3D images in fields such as communications, medicine and the military also calls for copyright protection, or watermarking, to secure the data for transmission.

Written by expert contributors, this timely text brings together the three important and complementary topics of compression, retrieval and watermarking techniques for 3D objects.  3D object processing applications are developing rapidly and this book tackles the challenges and opportunities presented, focusing on the secure transmission, sharing and searching of 3D objects on networks, and includes: 

  • an introduction to the commonly used 3D representation schemes; the characteristics, advantages and limitations of polygonal meshes, surface based models and volumetric models; 
  • 3D compression techniques; the 3D coding and decoding schemes for reducing the size of 3D data to reduce transmission time and minimize distortion; 
  • state of the art responses to the intrinsic challenges of building a 3D-model search engine, considering view-based, structural and full-3D approaches; 
  • watermarking techniques for   ensuring intellectual property protection and content security without altering the visual quality of the 3D object.

3D Object Processing: Compression, Indexing and Watermarking is an invaluable resource for graduate students and researchers working in signal and image processing, computer aided design, animation and imaging systems. Practising engineers who want to expand their knowledge of 3D video objects, including data compression, indexing, security, and copyrighting of information, will also find this book of great use.

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Editorial Reviews

From the Publisher
"The book is excellent resource for researchers, graduate students, and practioners interested in 3D object processing. The book is well written with a very nice set of references to the literature. I recommend it." (Journal of Electronic Imaging, January - March 2009)
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Product Details

  • ISBN-13: 9780470065426
  • Publisher: Wiley
  • Publication date: 6/10/2008
  • Edition number: 1
  • Pages: 210
  • Product dimensions: 5.80 (w) x 9.00 (h) x 0.70 (d)

Meet the Author

Jean-Luc Dugelay (PhD 1992, Member of the IEEE 1994, SeniorMember 2002) joined the Institute Eurecom (Sophia Antipolis) in1992, where he is currently a professor in charge of image andvideo research and teaching activities in the Department ofMultimedia communications. His research interests are in the areaof multimedia signal processing and communications, includingsecurity imaging (i.e. watermarking and biometrics) and facialimage analysis. He contributed to the first book on watermarking(Information hiding techniques for steganography and digitalwatermarking, Artech House, 199). He is an author or co-author ofmore than 150 papers that have appeared in journals or proceedings,3 book chapters and 3 international patents. he has given severaltutorials on digital watermarking (co-authored with F. Petitcolasfrom Microsoft research, Cambridge) at major conferences (ACMMultimedia, October 2000, Los Angeles, and Second IEEE Pacific-rimconference on Multimedia, October 2001, Beijing). He has been aninvited speaker and/or member of the Program Committee of severalscientific conferences and workshops related to digitalwatermarking. He was technical co-chair and organizer of the fourthworkshop on Multimedia Signal Processing, Cannes, October 2001. Hisgroup is involved in several national and European Projects relatedto digital watermarking (RNRT Aquamars and Semantic-3D, 1STCertimark). Professor Dugelay served as associate editor forseveral journals and is currently the Editor in Chief of theEURASIP Journal on Image and Video Processing. He is currently amember of several Technical Committees of the IE Signal ProcessingSociety. Email.jd@eurecom.fr.

Atilla Baskurt was born in Ankara, Turkey, in 1960. Hereceived is BS degree in 1984, MS in 1985 and PhD in 1989, all inElectrical Engineering from INSA of Lyon, France. From 1989 to1998, he was Maitre de conferences at INSA of Lyon. Since 1998, hehas been Professor in Electrical and Computer Engineering, first atthe University Claude Bernard of Lyon, and now at INSA of Lyon,Since 2003, he has been the Chair of the TelecommunicationDepartment. Professor Baskurt leads the research activities of twoteams at the LIRIS Research Laboratory: the IMAGINE team and theM2DisCo team. These teams work on image and 3D data analysis andsegmentation for image compression, image retrieval, shapedetection and identification. His technical research and experienceinclude digital image processing, 2D-3D data analysis, compression,retrieval and watermarking, especially for multimedia applications.He is chare de Mission on Information and CommunicationTechnologies (ICT) at the French research Ministry. Email: atilla.baskurt@insa-lyon.fr/abaskurt@liris.cnrs.fr.

Mohamed Daoudi is Professor of Computer Science inInstitute TELECOM: TELECOM-Lillel and LIFL (UMR USTL/CNRS 8022). Hereceived is PhD in Computer Engineering from the University ofLille 1 (USTL), France, in 1993 and Habilitation a Diriger desRecherches (HDR) from the University of Littoral, France, in 2000.He was the founder and head of the MIIRE Research Group of LIFLfrom 2000 to 2004. His research interests include patternrecognition, image processing, invariant representation of imagesand shapes, 3D analysis and retrieval and, more recently, 3D facerecognition. He has published more than 80 papers in refereedjournals and proceedings of international conferences. He served asa Program Committee member for the International Conference onPattern recognition (ICPR) in 2004 and the International Conferenceon Multimedia and Expo (ICME) in 2004 and 2005. he is a frequentreviewer for IEEE Transactions on Pattern Analysis and MachineIntelligence and for Pattern Recognition Letters. His research hasbeen funded by ANR, RNRT, European Commission grants. Email: mohamed.daoudi@telecom-lillel.eu.

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Table of Contents

About the Contributors vii

Introduction 1

1 Basic Background in 3D Object Processing 5
Guillaume Lavoué

1.1 3D Representation and Models 5

1.2 3D Data Source 28

1.3 3D Quality Concepts 34

1.4 Summary 39

References 40

2 3D Compression 45
Guillaume Lavoué, Florent Dupont, Atilla Baskurt

2.1 Introduction 45

2.2 Basic Review of 2D Compression 46

2.3 Coding and Scalability Basis 48

2.4 Direct 3D Compression 51

2.5 Compression Based on Approximation 70

2.6 Normative Aspect: MPEG-4 76

2.7 Conclusion 77

2.8 Summary 78

2.9 Questions and Problems 79

References 80

3 3D Indexing and Retrieval 87
Stefano Berretti, Mohamed Daoudi, Alberto Del Bimbo, TarikFilali Ansary, Pietro Pala, Julien Tierny, Jean-PhillippeVandeborre

3.1 Introduction 87

3.2 Statistical Shape Retrieval 96

3.3 Structural Approaches 114

3.4 Transform-based Approaches: Spin Images 120

3.5 View-based Approach 123

3.6 Normative Aspect: MPEG-7 133

3.7 Summary 134

References 135

4 3D Object Watermarking 139
Jihane Bennour, Jean-Luc Dugelay, Emmanuel Garcia, NikosNikolaidis

4.1 Introduction 139

4.2 Basic Review of Watermarking 140

4.3 Watermarking Principles Applied to 3D Objects 144

4.4 A Guided Tour of 3D Watermarking Algorithms 153

4.5 Concluding Remarks 172

4.6 Summary 175

4.7 Questions and Problems 176

References 180

Conclusion 185

Index 191

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