Download Three-Dimensional Television: Capture, Transmission, Display by Levent Onural, Haldun M. Ozaktas (auth.), Haldun M. Ozaktas, PDF
By Levent Onural, Haldun M. Ozaktas (auth.), Haldun M. Ozaktas, Levent Onural (eds.)
Advances in optical know-how and computing strength are bringing life-like 3DTV nearer, with power purposes not just in leisure, but in addition in schooling, clinical learn, undefined, medication, and lots of different areas.
3DTV would require the mixing of a variety of key applied sciences from computing to portraits, imaging to exhibit, and sign processing to communications. The scope of this e-book displays this range: varied chapters take care of diverse phases of an end-to-end 3DTV method similar to seize, illustration, coding, transmission, and reveal. either autostereoscopic innovations which get rid of the necessity for certain glasses and make allowance viewer move, and holographic methods that have the capability to supply the truest third-dimensional pictures, are coated. a few chapters speak about present examine tendencies in 3DTV expertise, whereas others tackle underlying topics.
This publication, the condensed results of an intensive ecu undertaking constructing the way forward for 3D-Television, is key to these with an curiosity in 3DTV-related learn or purposes, and likewise of curiosity to people who, whereas indirectly engaged on 3DTV, paintings in components which advancements in 3DTV may possibly contact, similar to multimedia, machine video games, digital truth, scientific imaging, and medical simulation.
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Extra info for Three-Dimensional Television: Capture, Transmission, Display
Example text
For each new set of model parameter values, the optimization routine invokes the matching function evaluation routine on the graphics card. One valuable benefit of model-based analysis is the low-dimensional parameter space when compared to general reconstruction methods. The parameterized model provides only a few dozen degrees of freedom that need to be determined, which greatly reduces the number of potential local minima. Furthermore, many high-level constraints are implicitly incorporated, and additional constraints can be easily enforced by making sure that all parameter values stay within their anatomically plausible range during optimization.
B) Silhouette XOR overlap. (c) Reconstructed pose of the template body model with kinematics skeleton 40 C. Theobalt et al. exploited. We effectively constrain the search space by exploiting structural knowledge about the human body, knowledge about feasible body poses, temporal coherence in motion data and a grid sampling preprocessing step. Model parameter estimation is performed in descending order with respect to the individual impact of the segments on silhouette appearance and their position along the kinematic chain of the model.
By down-sampling the residual data before transmission and then up-sampling in the receiving side, apparent visual quality degrades in return for bit savings. However, final perceptual quality of the stereoscopic 3D video will be about the same as ‘full bitrate’ version due to ‘additive nature’ of human stereopsis[15]. Using RDSSVC we could reduce the resulting bitrates while maintaining the perceptual quality of the stereoscopic video. Right-view Images P P P P Left-view Images I P P P Disparity compensated prediction Motion compensated prediction Fig.