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A study on the possibility of implementing a real-time stereoscopic 3D rendering TV system

机译：关于实施实时立体3D渲染电视系统的可能性的研究

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摘要

3D video has recently seen a massive increase in exposure in our lives. However, differences between the viewing and shooting conditions for a film lead to disparities between the reformed media and the original three-dimensional effect, which cause severe visual fatigue to viewers and result in headaches and dizziness. In this paper, a series of image processing algorithms are introduced to overcome these problems. The image processing pipeline is composed of four steps, eye-pupil detection, stereo correspondence computation, saliency map generation, and 3D warping. Each step is implemented in an S3DS-3D rendering system and its time complexity is measured. From the results, it was found that real-time stereoscopic 3D rendering is impossible using only a software implementation because SIFT and optical flow calculation requires a significant amount of time. Therefore, these two algorithm blocks should be implemented with hardware acceleration. Fortunately, active research is being conducted on these issues and real-time processing is expected to become available soon for applications beyond full-HD TV screens. In addition, it was found that saliency map generation and 3D warping blocks also need to be implemented in hardware for full-HD display although they do not have significant time complexity compared to SIFT and optical flow algorithm blocks.
机译：3D视频最近在我们的生活中得到了极大的曝光。然而，胶片的观看和拍摄条件之间的差异导致重新形成的媒体与原始的三维效果之间的差异，从而给观看者造成严重的视觉疲劳并导致头痛和头晕。本文介绍了一系列图像处理算法来克服这些问题。图像处理管线包括四个步骤，即瞳孔检测，立体对应计算，显着性图生成和3D变形。每个步骤都在S3DS-3D渲染系统中实现，并测量其时间复杂度。从结果中发现，仅使用软件实现就不可能进行实时立体3D渲染，因为SIFT和光流计算需要大量时间。因此，这两个算法块应通过硬件加速来实现。幸运的是，正在对这些问题进行积极的研究，并且实时处理有望很快用于全高清电视屏幕以外的应用。此外，已发现显着性图生成和3D翘曲块也需要在硬件中实现以用于全高清显示，尽管与SIFT和光流算法块相比，它们没有明显的时间复杂性。

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