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

By Levent Onural

This booklet offers a wide review of analysis traits in 3D video and similar applied sciences. The textual content was once built to fulfill the wishes of a nontechnical reader crew who wish to comprehend the problems, issues, technical difficulties and their at present proposed strategies, and the interactions between various parts of the complete 3DTV chain. present cutting-edge and learn actions are offered, besides expected examine instructions for the close to, medium, and long-term.

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A characteristic problem occurs during recording: interference patterns are very sensitive to motion; therefore, the object must be still during the exposure. Maximum tolerable motion is approximately a fraction of a micrometer, which requires very short exposure times. In turn, this necessitates high-power light sources or sensitive capture devices. Another problem is the coherence requirement of light, since interference without coherence is impossible, and coherence brings another type of problem, called speckle noise, during viewing.

3 A volumetric 3D display output. (From D. Miyazaki, K. Shiba, K. Sotsuka, and K. Matsushita, “Volumetric display system based on 3D scanning of inclined optical image” Optics Express 14(26) 12760, 2006. © OSA 2006. 4 A piston-type volumetric 3D display. (From V. Yücesoy, D. Tunaoglu, M. Kovachev, and L. Onural, “Design and implementation of a DMD-based volumetric 3D display" 3DTV-CON 2008, © IEEE, 2008. ) display elements are electronically excited to yield appropriate brightness and color variations at those particular positions at particular moments in time.

3,5,6 Shape-from-motion, which involves both object motion and camera motion, is generally accepted as a better method than others in terms of the accuracy of the captured 3D information. While other techniques are usually limited to operating in controlled environments for successful results and are probably not suitable for practical 3DTV, the shape-frommotion technique is not a universally valid solution, either, since it cannot capture 3D information under all conditions. This should be expected, and indeed, it is unreasonable to expect to solve the problem of 3D capture using a single camera unless there is a sufficient amount of motion that will reveal an adequate amount of 3D information.

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