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A System for Capturing, Rendering and Multiplexing Images on Multi-view Autostereoscopic Display

机译:在多视图自动立体显示器上捕获,渲染和多路复用图像的系统

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Current trends in digital display technology show a marked interest towards 3D displays, which allow three dimensional images to be conveyed to viewers. Among various 3D display techniques, auto stereoscopic display appears to be promising due to the use of optical trickery at the display, allowing glass-free viewing. However, the cost of generating and transmitting the auto stereoscopic images is usually quite high due to the huge amount of data. Hence, it is challenging to acquire artifact-free 3D images in real-time. This paper presents a system to generate and display high-resolution auto stereoscopic images at full HD resolution, i.e., 1920*1080*24. We show that the video-plus-depth data representation enables a scalable system architecture and efficient data transition. The proposed GPU accelerated depth image-based rendering (DIBR) algorithm and multiplexing algorithm are able to synthesize auto stereoscopic images in real-time. The synthesized images are then displayed on the auto stereoscopic screen that is mounted on a conventional LCD monitor. We demonstrate our system to both indoor activities and natural scenes.
机译:数字显示技术的当前趋势显示出对3D显示的极大兴趣,3D显示允许将三维图像传递给观看者。在各种3D显示技术中,由于在显示器上使用了光学技巧,因此自动立体显示似乎很有希望,从而实现了无玻璃观看。但是,由于数据量巨大,生成和传输自动立体图像的成本通常很高。因此,实时获取无伪影的3D图像是一项挑战。本文提出了一种以1920 * 1080 * 24的全高清分辨率生成和显示高分辨率自动立体图像的系统。我们证明了视频加深度数据表示可以实现可扩展的系统架构和有效的数据转换。提出的GPU加速基于深度图像的渲染(DIBR)算法和多路复用算法能够实时合成自动立体图像。然后将合成图像显示在安装在常规LCD监视器上的自动立体屏幕上。我们向室内活动和自然场景演示我们的系统。

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