Subjective Quality Evaluation of Point Clouds Using a Head-Mounted Display

Preparing subjective evaluations for point cloud quality assessment using 2D or 3D planar displays typically requires rendering uncompressed videos, which demands large volumes of data storage and processing, particularly at high resolutions. This paper describes a subjective quality evaluation of point clouds using a head-mounted display (HMD), which allows the direct 3D content depiction and thus eliminates the need for video rendering. The test dataset included six static point clouds encoded with the MPEG codecs V-PCC and G-PCC, the learning-based codec RS-DLPCC, and the Draco codec. The obtained Mean Opinion Scores (MOS) were compared with two other studies using the same dataset but with different displays, notably a 2D display and a 3D stereoscopic display. The reported results indicate that the three studies are highly correlated, with Pearson and Spearman correlation coefficients above 0.9. Moreover, a multi-way ANOVA shows that changing the display does not have a significant effect on the obtained MOS.