3D Object Processing: Compression, Indexing and Watermarking
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.
1 Basic Background in 3D Object Processing (Guillaume Lavoué).
1.1 3D Representation and Models.
1.2 3D Data Source
1.3 3D Quality Concepts.
2 3D Compression (Guillaume Lavoué, Florent Dupont, and Atilla Baskurt).
2.2 Basic Review of 2D Compression.
2.3 Coding and Scalability Basis.
2.4 Direct 3D Compression.
2.5 Compression Based on Approximation.
2.6 Normative Aspect: MPEG-4.
2.9 Questions and Problems.
3 3D Indexing and Retrieval (Stefano Berretti, Mohamed Daoudi, Alberto Del Bimbo, Tarik Filali Ansary, Pietro Pala, Julien Tierny, and Jean-Phillippe Vandeborre).
3.2 Statistical Shape Retrieval.
3.3 Structural Approaches.
3.4 Transform-based Approaches: Spin Images.
3.5 View-based Approach.
3.6 Normative Aspect: MPEG-7.
4 3D Object Watermarking (Jihane Bennour, Jean-Luc Dugelay, Emmanuel Garcia, and Nikos Nikolaidis).
4.2 Basic Review of Watermarking.
4.3 Watermarking Principles Applied to 3D Objects.
4.4 A Guided Tour of 3D Watermarking Algorithms.
4.5 Concluding Remarks.
4.7 Questions and Problems.
Atilla Baskurt was born in Ankara, Turkey, in 1960. He received is BS degree in 1984, MS in 1985 and PhD in 1989, all in Electrical Engineering from INSA of Lyon, France. From 1989 to 1998, he was Maitre de conferences at INSA of Lyon. Since 1998, he has been Professor in Electrical and Computer Engineering, first at the University Claude Bernard of Lyon, and now at INSA of Lyon, Since 2003, he has been the Chair of the Telecommunication Department. Professor Baskurt leads the research activities of two teams at the LIRIS Research Laboratory: the IMAGINE team and the M2DisCo team. These teams work on image and 3D data analysis and segmentation for image compression, image retrieval, shape detection and identification. His technical research and experience include digital image processing, 2D-3D data analysis, compression, retrieval and watermarking, especially for multimedia applications. He is chare de Mission on Information and Communication Technologies (ICT) at the French research Ministry. Email: email@example.comfirstname.lastname@example.org.
Mohamed Daoudi is Professor of Computer Science in Institute TELECOM: TELECOM-Lillel and LIFL (UMR USTL/CNRS 8022). He received is PhD in Computer Engineering from the University of Lille 1 (USTL), France, in 1993 and Habilitation a Diriger des Recherches (HDR) from the University of Littoral, France, in 2000. He was the founder and head of the MIIRE Research Group of LIFL from 2000 to 2004. His research interests include pattern recognition, image processing, invariant representation of images and shapes, 3D analysis and retrieval and, more recently, 3D face recognition. He has published more than 80 papers in refereed journals and proceedings of international conferences. He served as a Program Committee member for the International Conference on Pattern recognition (ICPR) in 2004 and the International Conference on Multimedia and Expo (ICME) in 2004 and 2005. he is a frequent reviewer for IEEE Transactions on Pattern Analysis and Machine Intelligence and for Pattern Recognition Letters. His research has been funded by ANR, RNRT, European Commission grants. Email: email@example.com.
3D Object Processing: Compression, Indexing and Watermarking (US $140.00)
-and- Fundamentals of Signal Processing for Sound and Vibration Engineers (US $120.00)
Total List Price: US $260.00
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