关于VR评估对高度真实数字人体验质量的影响
On the impact of VR assessment on the Quality of Experience of Highly Realistic Digital Humans
摘要：
由于虚拟和增强现实应用的日益普及，点云由于其多功能性和实时能力而成为用于获取和渲染数字人的流行3D格式。然而，由于技术约束和实时渲染限制，很少使用虚拟和增强现实设备来评估动态点云内容的视觉质量，而是依赖于在传统的2D屏幕上显示的预先录制的视频。在这项研究中，我们评估的视觉质量的点云代表数字人是如何受到压缩失真。特别是，我们比较了三种不同的观看条件的基础上的自由度，授予观众：被动观看（2DTV），头部旋转（3DoF），旋转和平移（6DoF），了解如何在虚拟空间中的相互作用影响的感知质量。我们提供了涉及78名参与者的定量和定性评估结果，并将数据公开。据我们所知，这是第一次研究评价质量的动态点云在虚拟现实，并比较它与传统的观看设置。结果突出了视觉质量对测试内容的依赖性，以及当前数据集用于评估压缩解决方案的方式的局限性。此外，在VR质量评价的影响因素，以及点云编码解决方案如何处理视觉无损压缩的缺点，进行了讨论。
英文摘要：
Fuelled by the increase in popularity of virtual and augmented reality applications, point clouds have emerged as a popular 3D format for acquisition and rendering of digital humans, thanks to their versatility and real-time capabilities. Due to technological constraints and real-time rendering limitations, however, the visual quality of dynamic point cloud contents is seldom evaluated using virtual and augmented reality devices, instead relying on prerecorded videos displayed on conventional 2D screens. In this study, we evaluate how the visual quality of point clouds representing digital humans is affected by compression distortions. In particular, we compare three different viewing conditions based on the degrees of freedom that are granted to the viewer: passive viewing (2DTV), head rotation (3DoF), and rotation and translation (6DoF), to understand how interacting in the virtual space affects the perception of quality. We provide both quantitative and qualitative results of our evaluation involving 78 participants, and we make the data publicly available. To the best of our knowledge, this is the first study evaluating the quality of dynamic point clouds in virtual reality, and comparing it to traditional viewing settings. Results highlight the dependency of visual quality on the content under test, and limitations in the way current data sets are used to evaluate compression solutions. Moreover, influencing factors in quality evaluation in VR, and shortcomings in how point cloud encoding solutions handle visually-lossless compression, are discussed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
