By Ce Zhu, Yin Zhao, Lu Yu, Masayuki Tanimoto
Riding at the luck of 3D cinema blockbusters and advances in stereoscopic demonstrate know-how, 3D video functions have amassed momentum lately. 3D-TV method with Depth-Image-Based Rendering: Architectures, innovations and Challenges surveys depth-image-based 3D-TV structures, that are anticipated to be positioned into functions within the close to destiny. Depth-image-based rendering (DIBR) considerably complements the 3D visible event in comparison to stereoscopic platforms at present in use. DIBR recommendations give the opportunity to generate extra viewpoints utilizing 3D warping ideas to regulate the perceived intensity of stereoscopic video clips and supply for auto-stereoscopic monitors that don't require glasses for viewing the 3D picture.
The fabric contains a technical overview and literature survey of elements and entire structures, suggestions for technical concerns, and implementation of prototypes. The e-book is geared up into 4 sections: procedure evaluation, content material iteration, information Compression and Transmission, and 3D Visualization and caliber overview. This ebook will gain researchers, builders, engineers, and innovators, in addition to complex undergraduate and graduate scholars operating in appropriate areas.
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Additional resources for 3D-TV System with Depth-Image-Based Rendering: Architectures, Techniques and Challenges
EURASIP J Adv Sig Process 2009(1), Jan 2009 84. Merkle P, Morvan Y, Smolic A, Farin D, Müller K, de With PHN, Wiegand T (2009) The effects of multiview depth video compression on multiview rendering. Sig Process: Image Commun 24(1–2):73–88 85. Kim W-S, Ortega A, Lai P, Tian D, Gomila C (2010) Depth map coding with distortion estimation of rendered view. In: Proceedings of SPIE visual information processing and communication, vol 7543. pp 75430B–75430B-10 86. Tikanmaki A, Gotchev A, Smolic A, Muller K (2008) Quality assessment of 3D video in rate allocation experiments.
The remote partners are reproduced in life-size at 3D displays. Special processing techniques enable eye contact and gesture awareness between all involved persons [3, 4]. Today many of these applications still use glasses. In this case, the display presents two images that have been captured with slightly different perspective from horizontally separated camera positions, usually similar to the eye positions of humans. The displays show both views at the same screen, but separated either by optical means (polarization, color separation) or temporally interleaved.
Combining the two solutions improves the algorithm robustness, and manual assistance is still necessary for high-quality content. Compared with content generation, other components like 3D content delivery and visualization in this system are technically less challenging, in view that the current solutions, though not optimal, can generally support the basic functionality. However, there are still quite many factors to be improved or solved. More efficient depth coding (and/or depth-assisted texture coding) may be still on demand.