By Jean-Luc Dugelay, Atilla Baskurt, Mohamed Daoudi
The coming, and carrying on with evolution, of top quality 3D gadgets has been made attainable through fresh development in 3D scanner acquisition and 3D pictures rendering. With this expanding caliber comes a corresponding elevate within the measurement and complexity of the knowledge documents and the need for advances in compression concepts. potent indexing to facilitate the retrieval of the 3D information is then required to successfully shop, seek and recapture the gadgets which have been compressed. the appliance of 3D photographs in fields resembling communications, drugs and the army additionally demands copyright security, or watermarking, to safe the knowledge for transmission.
Written via professional members, this well timed textual content brings jointly the 3 very important and complementary themes of compression, retrieval and watermarking thoughts for 3D objects. 3D item processing purposes are constructing speedily and this e-book tackles the demanding situations and possibilities provided, targeting the safe transmission, sharing and looking out of 3D items on networks, and includes:
- an creation to the generally used 3D illustration schemes; the features, merits and boundaries of polygonal meshes, floor established versions and volumetric models;
- 3D compression suggestions; the 3D coding and interpreting schemes for lowering the dimensions of 3D information to minimize transmission time and reduce distortion;
- state of the artwork responses to the intrinsic demanding situations of establishing a 3D-model seek engine, contemplating view-based, structural and full-3D approaches;
- watermarking options for making sure highbrow estate security and content material protection with out changing the visible caliber of the 3D item.
3D item Processing: Compression, Indexing and Watermarking is a useful source for graduate scholars and researchers operating in sign and photograph processing, machine aided layout, animation and imaging structures. training engineers who are looking to extend their wisdom of 3D video gadgets, together with facts compression, indexing, defense, and copyrighting of knowledge, also will locate this e-book of serious use. content material:
Chapter 1 simple history in 3D item Processing (pages 5–43): Guillaume Lavoue
Chapter 2 3D Compression (pages 45–86): Guillaume Lavoue, Florent Dupont and Professor Atilla Baskurt
Chapter three 3D Indexing and Retrieval (pages 87–138): Stefano Berretti, Mohamed Daoudi, Alberto Del Bimbo, Tarik Filali Ansary, Pietro Pala, Julien Tierny and Jean?Phillippe Vandeborre
Chapter four 3D item Watermarking (pages 139–183): Jihane Bennour, Professor Jean?Luc Dugelay, Emmanuel Garcia and Dr Nikos Nikolaidis
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Additional info for 3D Object Processing: Compression, Indexing and Watermarking
Algorithmica 38, 25–63. Stam J and Loop C 2003 Quad/triangle subdivision. Computer Graphics Forum 22(1), 79–85. Terzopoulos D and Metaxas D 1991 Dynamic 3D models with local and global deformations: deformable superquadrics. IEEE Transactions on Pattern Analysis and Machine Intelligence 13(7), 703–714. Tian D and AlRegib G 2004 FQM: a fast quality measure for efficient transmission of textured 3D models. ACM Multimedia, pp. 684–691. Vaerman V, de Sola Fabregas C and Menegaz G 1997 The hyperquadrics: an efficient parametric surface representation.
E. symbols are as less equiprobable as possible). Thus the objective of 3D compression algorithms is to transform the data into highly non-uniform sequences of symbols. ), is mostly defined by real values. For instance, these real values can represent the 3D coordinates of the vertices of a polygonal mesh, the nodes of a B-spline surface or the parameters of the potential functions of an implicit model. In an uncompressed form, these real values are usually associated with a 32-bit floating precision that can distinguish between 232 possible values which, in most cases, are far more than is needed for standard applications.
Tian D and AlRegib G 2004 FQM: a fast quality measure for efficient transmission of textured 3D models. ACM Multimedia, pp. 684–691. Vaerman V, de Sola Fabregas C and Menegaz G 1997 The hyperquadrics: an efficient parametric surface representation. 10, Signal Processing Lab, Swiss Federal Institute of Technology. Wang Z, Bovik A, Sheikh H and Simoncelli E 2004 Image quality assessment: from error visibility to structural similarity. IEEE Transactions on Image Processing 13(4), 1–14. Warren J and Weimer H 2002 Subdivision methods for geometric design: A constructive approach.
3D Object Processing: Compression, Indexing and Watermarking by Jean-Luc Dugelay, Atilla Baskurt, Mohamed Daoudi