On the Impact of Spatial Rendering on Point Cloud Subjective Visual Quality Assessment
Davi Nachtigall Lazzarotto, Michela Testolina, Touradj Ebrahimi · 2022
Immersive imaging modalities have been receiving growing attention over the last years. In this context, point clouds demonstrated to be a competitive data representation format, mainly due to its compatibility with most acquisition devices such as LiDAR scans and depth cameras. On the other hand, the large associated data volume is a challenge to storage and transmission, resulting in the need for efficient point cloud compression methods. Multiple subjective studies have been conducted to assess the performance of such compression methods, mostly limiting the analysis to flat monitors or virtual and augmented reality headsets. In this paper, we investigate the impact of a novel eye-sensing light field display on several aspects of quality of experience, as well as on the subjective perception of compression artifacts. The two visualization devices have been observed to create distinct user experiences which lead to noticeable differences in subjective opinion. The advantages and disadvantages of each visualization strategy are underlined, based on rigorous statistical analysis. The subjectively annotated dataset is also released in order to foster future research.