3D Video Technologies: An Overview of Research Trends by Levent Onural PDF

By Levent Onural

ISBN-10: 0819480975

ISBN-13: 9780819480972

This booklet offers a huge assessment of analysis tendencies in 3D video and comparable applied sciences. The textual content used to be built to fulfill the desires of a nontechnical reader workforce who wish to comprehend the problems, issues, technical difficulties and their at the moment proposed ideas, and the interactions between diversified parts of the whole 3DTV chain. present state of the art and learn actions are provided, in addition to envisioned study instructions for the close to, medium, and long-term.

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Furthermore, it should support progressive resolutions, including lower-level details. 7 Some 3D representation techniques are presented below. 7 Therefore, every State-of-the-Art in 3D Imaging, Delivery, and 3D Content Display 33 pixel has a color and a depth. The collection of such image pairs provides a complete description for the entire 3D scene (Fig. 3). 7 In a mesh format, the 3D scene is typically represented as a collection of 3D vertex coordinates and a list of edges that connect these vertices to describe a surface that consists of planar patches.

Such a separation may, for example, yield one texture image for the intrinsic optical properties of the object surface, and produce another texture image that represents the illumination that falls onto the object. Further separation for different effects and properties is possible. 6 Pseudo-3D representations There are some forms of descriptions with limited 3D capabilities that still give a sense of depth. Such methods can be grouped under pseudo-3D representations. One commonly used example is the packing of many 2D objects over each other at different depths.

4 Block diagram of a stereoscopic video encoder and decoder. (From A. Aksay, C. Bilen, E. Kurutepe, T. Ozcelebi, G. B. Akar, M. R. Civanlar, and A. M. Tekalp, “Temporal and spatial scaling for stereoscopic video,” EUSIPCO 2006. © EUSIPCO 2006. 3 Video-plus-depth In video-plus-depth data representation, each pixel of data consists of a color and an additional depth value. The depth value is also quantized and is restricted between maximum and minimum limits. Such data carries information about the 3D scene and therefore, conversion between different data formats, such as from video-plus-depth to multiview video, is possible.

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3D Video Technologies: An Overview of Research Trends by Levent Onural


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