Virtual Reality (VR) and its applications have attracted significant and increasing attention. However, the requirements of much larger file sizes, different storage formats, and immersive viewing conditions pose significant challenges to the goals of acquiring, transmitting, compressing and displaying high quality VR content. Towards meeting these challenges, it is important to be able to understand the distortions that arise and that can affect the perceived quality of displayed VR content. It is also important to develop ways to automatically predict VR picture quality. Meeting these challenges requires basic tools in the form of large, representative subjective VR quality databases on which VR quality models can be developed and which can be used to benchmark VR quality prediction algorithms. Towards making progress in this direction, here we present the results of an immersive 3D subjective image quality assessment study. In the study, 450 distorted images obtained from 15 pristine 3D VR images modified by 6 types of distortion of varying severities were evaluated by 42 subjects in a controlled VR setting. Both the subject ratings as well as eye tracking data were recorded and made available as part of the new database, in hopes that the relationships between gaze direction and perceived quality might be better understood. We also evaluated several publicly available IQA models on the new database, and also report a statistical evaluation of the performances of the compared IQA models.

中文翻译：

---

3D虚拟现实画质研究

虚拟现实 (VR) 及其应用引起了越来越多的关注。然而，更大的文件大小、不同的存储格式和沉浸式观看条件的要求对获取、传输、压缩和显示高质量 VR 内容的目标提出了重大挑战。为应对这些挑战，重要的是能够了解出现的失真并可能影响所显示 VR 内容的感知质量。开发自动预测 VR 图像质量的方法也很重要。应对这些挑战需要大型、具有代表性的主观 VR 质量数据库形式的基本工具，可以在这些数据库上开发 VR 质量模型，并可用于基准 VR 质量预测算法。朝着这个方向取得进展，在这里，我们展示了沉浸式 3D 主观图像质量评估研究的结果。在这项研究中，42 名受试者在受控 VR 设置中评估了从 15 幅原始 3D VR 图像中获得的 450 张失真图像，这些图像由 6 种不同严重程度的失真进行了修改。受试者评级和眼动追踪数据都被记录并作为新数据库的一部分提供，希望可以更好地理解凝视方向和感知质量之间的关系。我们还在新数据库上评估了几个公开可用的 IQA 模型，并报告了对比较 IQA 模型性能的统计评估。42 名受试者在受控 VR 设置中评估了从 15 幅原始 3D VR 图像中获得的 450 幅失真图像，这些图像由 6 种不同严重程度的失真进行了修改。受试者评级和眼动追踪数据都被记录并作为新数据库的一部分提供，希望可以更好地理解凝视方向和感知质量之间的关系。我们还在新数据库上评估了几个公开可用的 IQA 模型，并报告了对比较 IQA 模型性能的统计评估。42 名受试者在受控 VR 设置中评估了从 15 幅原始 3D VR 图像中获得的 450 幅失真图像，这些图像由 6 种不同严重程度的失真进行了修改。受试者评级和眼动追踪数据都被记录并作为新数据库的一部分提供，希望可以更好地理解凝视方向和感知质量之间的关系。我们还在新数据库上评估了几个公开可用的 IQA 模型，并报告了对比较 IQA 模型性能的统计评估。