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Super-multiview content with high angular resolution: 3D quality assessment on horizontal-parallax lightfield display

机译:具有高角度分辨率的超级多视图内容:水平视差光场显示器上的3D质量评估

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The advent of glasses-free 3D super-multiview (SMV) displays has opened up new avenues for experiencing 3D content. Accordingly, perceptual quality assessment of such content assumes significance. In this context, we present the results of subjective and objective quality assessment of static 3D SMV content, conducted with twenty subjects on a glasses-free horizontal-parallax 3D lightfield display. First, we create a multiview image dataset using three real objects, with high angular resolution. The display system generates 3D views from fixed subsets of consecutive images. Next, we extend the standard guidelines of subjective assessment to our evaluation environment. In the course, we make recommendations on acquiring SMV data as well as conducting subjective evaluation. Subsequently, we observe that the existing 2D full-reference (FR) quality metrics, applied to individual 3D views, are inadequate for 3D quality assessment. To fill the gap, we propose a 3D FR objective quality metric. For every 3D view, the proposed metric combines spatial information from each constituent image and angular information (depth cues) from consecutive images. Finally, we show that the proposed metric correlates significantly with subjective scores, outperforming existing 2D metrics. The efficacy of pooling spatial and angular information highlights the fact that angular information plays a crucial role in 3D perception. (C) 2016 Elsevier B.V. All rights reserved.
机译:无眼镜的3D超级多视图(SMV)显示器的出现为体验3D内容开辟了新途径。因此,这种内容的感知质量评估具有重要意义。在这种情况下,我们介绍了静态3D SMV内容的主观和客观质量评估结果,该结果是在无眼镜水平视差3D光场显示器上对20名受试者进行的。首先,我们使用三个具有高角度分辨率的真实对象创建一个多视图图像数据集。显示系统从连续图像的固定子集生成3D视图。接下来,我们将主观评估的标准指南扩展到我们的评估环境。在课程中,我们会建议您获取SMV数据以及进行主观评估。随后,我们观察到适用于单个3D视图的现有2D全参考(FR)质量度量标准不足以进行3D质量评估。为了弥补这一空白,我们提出了3D FR客观质量指标。对于每个3D视图,建议的度量标准将来自每个组成图像的空间信息与来自连续图像的角度信息(深度提示)进行组合。最后,我们证明了拟议的指标与主观评分显着相关,优于现有的2D指标。合并空间和角度信息的功效突出了以下事实:角度信息在3D感知中起着至关重要的作用。 (C)2016 Elsevier B.V.保留所有权利。

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