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A Survey on 3D Quality of Experience and 3D Quality Assessment

机译:3D体验质量和3D质量评估调查

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The field of algorithmically assessing the 3D quality of experience and/or 3D quality is an extremely challenging one; making it a fertile ground for research. The complexity of the problem, coupled with our yet nascent understanding of 3D perception and the increasing commercial shift toward 3D entertainment makes the area of 3D QA interesting, formidable and practically relevant. This article undertakes a brief review of the recent research in the area of 3D visual quality of experience and quality assessment. We first review literature in the field of quality of experience which encompasses geometry, visual discomfort etc., and then perform a similar review in the field of quality assessment which encompasses distortions such as blur, noise, compression etc. We describe algorithms and databases that have been proposed in the literature for these purposes. We conclude with a short description of a recent resource - the LIVE 3D IQA database that is the first quality assessment database which provides researchers with access to true depth information for each of the stereo pairs obtained from a high-precision range scanner.
机译:在算法上评估3D体验质量和/或3D质量的领域极具挑战性。使它成为研究的沃土。问题的复杂性,再加上我们对3D感知的初步了解,以及越来越多的商业向3D娱乐的转变,使3D QA领域变得有趣,强大且实用。本文对3D视觉体验质量和质量评估领域的最新研究进行了简要回顾。我们首先回顾包括几何形状,视觉不适等在内的体验质量领域的文献,然后在涵盖模糊,噪声,压缩等失真的质量评估领域中进行类似的回顾。我们描述了算法和数据库,为了这些目的在文献中已经提出了。我们以最新资源的简短描述结尾-LIVE 3D IQA数据库,这是第一个质量评估数据库,它为研究人员提供了从高精度范围扫描仪获得的每个立体声对的真实深度信息。

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