PCD-PCL

A High-Quality Colored Point Cloud Dataset Provided by Peng Cheng Laboratory (mainly for AVS PCC and PCQA)

How we get the colored point clouds?

1. Open SketchFab -> Explore -> Downloadable -> Filters (LICENSES: CC BY & CC BY-SA & CC0) -> CATEGORIES (e.g., Cultural Heritage & History) -> Choose high-quality 3D mesh models with diverse contents -> Download glTF files (Thanks for the providers of these 3D models!)
2. Open them with Blender and save them as *.obj file
3. Method 1: Use MeshLab texel sampling (where texture resolution=4096) to generate the sampled point clouds, and save them as *.ply files (with the alpha information removed); Method 2: Use CloudCompare Sample Points to generate point clouds based on Points Number or Density
4. To use them as the input for AVS-PCC PCRM or MPEG G-PCC, use quantization_process.py for quantizing them to a suitable level (where a further quantization will lose many points).

Link to download the dataset

url: PCD-PCL includes a total of 80 static point clouds.

Citation

If you use this dataset for your research, please cite it as follows.

@misc{pcd-pcl,
    author= {Dingquan Li, Jing Wang, and Ge Li},
    year  = {2022},
    title = {A High-Quality Colored Point Cloud Dataset},
    note  = {\url{https://github.com/lidq92/PCD-PCL}, 
             Last accessed on 2022-06-23},
}