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Objective Quality Assessment of 2D Synthesized Views for Light-Field Visualization

机译:目标质量评估2D综合视图,用于光场可视化

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Super multi-view light-field displays provide glasses-free immersive 3D experience via continuous motion parallax. Such displays, particularly large ones, require input views acquired at high angular resolution, covering a large field of view. Light-field content can be captured or generated by several different tools and methods, such as the turntable arrangement for a single camera, arc, linear and grid arrangements of multiple cameras, light-field cameras and also virtual cameras. However, acquiring content with a large number of real cameras is often economically and technologically prohibitive. Interpolating intermediate views from those captured using sparse camera arrays has been suggested to achieve the required high view density. Such synthesized views suffer from several artifacts, which can severely affect the perceived quality. Objective quality assessment of synthesized images has been studied extensively on a per-image basis. Yet, when such content is visualized on a light-field display, the objective quality of the content may not be derived from the quality of the individual images. In this paper, we present a pilot study where we investigated degradations in the objective quality of 2D synthesized views while increasing the proportion of synthesized views in the multi-view content.
机译:超级多视图光场显示通过连续运动视差提供无眼镜的沉浸式3D体验。这样的显示器,特别是大的,需要在高角度分辨率下获取的输入视图,覆盖大型视野。可以通过几种不同的工具和方法捕获或产生光场含量,例如用于单个相机,电弧,线性和多个相机的线性和网格布置的转盘布置,轻场摄像机以及虚拟摄像机。然而,以大量真正的相机获取内容通常在经济上和技术上是持久的。已经提出了使用稀疏相机阵列捕获的那些插入中间视图,以实现所需的高视图密度。这种合成视图遭受了几种文物,这可能会严重影响感知质量。基于每个图像的基础进行了广泛研究了合成图像的客观质量评估。然而,当在光场显示上可视化这样的内容时,内容的目标质量可能无法从各个图像的质量导出。在本文中,我们提出了一项试验研究,我们在2D合成视图的客观质量中调查了降解,同时增加了多视图内容中的合成视图的比例。

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