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 3D Object Processing: Compression, Indexing and Watermarking
  

  3D Object Processing: Compression, Indexing and Watermarking by Edited by Jean-Luc Dugelay ; Atilla Baskurt ; Mohamed Daoudi

  • Published by: Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)
  • Author: Edited by Jean-Luc Dugelay ; Atilla Baskurt ; Mohamed Daoudi
  • Page Count: 210
  • Group: Electronics engineering
  • ISBN: 0470065427/9780470065426
  • Published: Apr 2008

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Book Information and Description:

3D Object Processing: Compression, Indexing and Watermarking
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.3 D 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; and, 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.


Contents:

About the ContributorsIntroduction1 Basic Background in 3D Object ProcessingGuillaume Lavou-e1.1 3D Representation and Models1.2 3D Data Source1.3 3D Quality Concepts1.4 SummaryReferences2 3D CompressionGuillaume Lavou-e, Florent Dupont, Atilla Baskurt2.1 Introduction2.2 Basic Review of 2D Compression2.3 Coding and Scalability Basis2.4 Direct 3D Compression2.5 Compression Based on Approximation2.6 Normative Aspect: MPEG-42.7 Conclusion2.8 Summary2.9 Questions and ProblemsReferences3 3D Indexing and RetrievalStefano Berretti, Mohamed Daoudi, Alberto Del Bimbo, Tarik Filali Ansary,Pietro Pala, Julien Tierny, Jean-Phillippe Vandeborre3.1 Introductionvi Contents3.2 Statistical Shape Retrieval3.3 Structural Approaches3.4 Transform-based Approaches: Spin Images3.5 View-based Approach3.6 Normative Aspect: MPEG-73.7 SummaryReferences4 3D Object WatermarkingJihane Bennour, Jean-Luc Dugelay, Emmanuel Garcia,Nikos Nikolaidis4.1 Introduction4.2 Basic Review of Watermarking4.3 Watermarking Principles Applied to 3D Objects4.4 A Guided Tour of 3D Watermarking Algorithms4.5 Concluding Remarks4.6 Summary4.7 Questions and ProblemsReferencesConclusionIndex


Brief Description:

Brings together three complementary topics of compression, retrieval and watermarking techniques for 3D objects. This book tackles the challenges and opportunities presented, focusing on the secure transmission, sharing and searching of 3D objects on networks. It is suitable for graduate students and researchers working in computer aided design.