Abstract

We focus on subjective and objective Point Cloud Quality Assessment (PCQA) in an immersive environment and study the effect of geometry and texture attributes in compression distortion. Using a Head-Mounted Display (HMD) with six degrees of freedom, we establish a subjective PCQA database named SIAT Point Cloud Quality Database (SIAT-PCQD). Our database consists of 340 distorted point clouds compressed by the MPEG point cloud encoder with the combination of 20 sequences and 17 pairs of geometry and texture quantization parameters.

Instructions:

As we do not have the rights to redistribute some point clouds used in MPEG and JPEG, we provide DMOS scores, source download websites, the procedures we used for preprocessing, and the commands we used for compression by V-PCC.

For more information, please visit our website.

http://codec.siat.ac.cn/download.html