By Jean-Luc Dugelay, Atilla Baskurt, Mohamed Daoudi
The coming, and carrying on with evolution, of top quality 3D items has been made attainable by way of contemporary development in 3D scanner acquisition and 3D photographs rendering. With this expanding caliber comes a corresponding raise within the dimension and complexity of the knowledge documents and the need for advances in compression concepts. powerful 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 applying of 3D pictures in fields equivalent to communications, drugs and the army additionally demands copyright defense, or watermarking, to safe the information for transmission.
Written by means of specialist participants, this well timed textual content brings jointly the 3 vital and complementary issues of compression, retrieval and watermarking innovations for 3D objects. 3D item processing functions are constructing quickly and this booklet tackles the demanding situations and possibilities provided, concentrating on the safe transmission, sharing and looking of 3D gadgets on networks, and includes:
- an advent to the widely used 3D illustration schemes; the features, benefits and boundaries of polygonal meshes, floor established types and volumetric models;
- 3D compression ideas; the 3D coding and interpreting schemes for lowering the scale of 3D info to minimize transmission time and reduce distortion;
- state of the paintings responses to the intrinsic demanding situations of establishing a 3D-model seek engine, contemplating view-based, structural and full-3D approaches;
- watermarking recommendations for making sure highbrow estate safety and content material defense 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 photo processing, computing device aided layout, animation and imaging structures. practicing engineers who are looking to extend their wisdom of 3D video items, together with information compression, indexing, defense, and copyrighting of data, also will locate this publication of serious use. content material:
Chapter 1 easy 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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Extra resources for 3D Object Processing: Compression, Indexing and Watermarking
The coding stage allows us to reduce the average number of bits allocated to each quantized value. The coding techniques are based on the information theory presented in the next section for 3D objects. They involve no loss of information. 2 Compression Ratio, Quality Evaluation The compression ratio is defined as the total number of bits necessary to represent the original information divided by the total number of bits of the binary file which will be stored. In practice, we use the bit rate to measure the compacting efficiency.
Kobbelt L 1996 Interpolatory subdivision on open quadrilateral nets with arbitrary topology. Computer Graphics Forum 15(3), 409–420. Kobbelt L and Botsch M 2004 A survey of point-based techniques in computer graphics. Computers and Graphics 28(6), 801–814. Kobbelt LP, Botsch M, Schwanecke U and Seidel HP 2001 Feature-sensitive surface extraction from volume data. ACM SIGGRAPH, pp. 27–66. Krishnan S and Manocha D 1997 An efficient surface intersection algorithm based on lowerdimensional formulation.
2005) pilot their simplification algorithm so as to emphasize visually salient features, determined by an eye tracking system. Lee et al. (2005) followed a similar approach but automatically extract the saliency from the input mesh by computing kinds of multiresolution curvature maps. Recently several authors have investigated the use of perceptual metrics (ad hoc) for the evaluation of specific applications. 23) where n(v) is the set of indices of the neighbors of v, and li the Euclidean distance from v to vi .