M-PCCD: MPEG Point Cloud Compression Dataset

The emerging MPEG point cloud codecs (V-PCC and G-PCC variants) are assessed, and best practices for rate allocation are investigated [1]. For this purpose, three experiments are conducted. In the first experiment, a rigorous evaluation of the codecs is performed, adopting test conditions dictated by experts of the group on a carefully selected set of models, using both subjective and objective quality assessment methodologies. In the other two experiments, different rate allocation schemes for geometry-only and geometry-plus-color encoding are subjectively evaluated, in order to draw conclusions on the best-performing approaches in terms of perceived quality for a given bit rate.

In this webpage, we make publicly available quality scores associated with the stimuli under assessment for each experiment. For purposes of reproducibility, a content that is used while not being part of established point cloud repositories adopted by standardisation bodies, is re-distributed. Moreover, scripts are provided in order to generate the reference models and the rendering-related meta-data that are used in this study.


In the provided URL link you can find the material under folders that follow corresponding naming convention. Specifically:

  • In folder contents, you will find the re-distributed model amphoriskos, as prepared for our study, along with a README file with instructions on where to find and how to prepare the reference versions of the rest of the contents.
  • In folder scores, you will find subjective and objective scores from the first experiment, and subjective votes from the second and the third experiments.
  • In folder scripts, you will find the MATLAB functions that are used for voxelization (i.e., fun_voxelize), and computation of the size of each point per stimulus (i.e., fun_pointsize). The former script is used to prepare the reference models of the study (where needed), while the latter script is used to produce meta-data per stimulus that are required by our renderer.

The Point cloud web renderer that was developed and used for subjective and objective quality evaluation, can be downloaded from the following GitHub repository.

For more details, the reader can refer to [1].

Conditions of use

If you wish to use any of the provided material in your research, we kindly ask you to cite [1].


  1. Alexiou, E., Viola, I., Borges, T., Fonseca, T., De Queiroz, R., & Ebrahimi, T. (2019). A comprehensive study of the rate-distortion performance in MPEG point cloud compression. APSIPA Transactions on Signal and Information Processing, 8, E27. doi: 10.1017/ATSIP.2019.20