UVG-VPC: Voxelized Point Cloud Dataset for Visual Volumetric Video-based Coding

Guillaume Gautier, Alexandre Mercat, Louis Fréneau, Mikko Pitkänen, Jarno Vanne
4/8/2025
cs.MMcs.CV

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Abstract

Point cloud compression has become a crucial factor in immersive visual media processing and streaming. This paper presents a new open dataset called UVG-VPC for the development, evaluation, and validation of MPEG Visual Volumetric Video-based Coding (V3C) technology. The dataset is distributed under its own non-commercial license. It consists of 12 point cloud test video sequences of diverse characteristics with respect to the motion, RGB texture, 3D geometry, and surface occlusion of the points. Each sequence is 10 seconds long and comprises 250 frames captured at 25 frames per second. The sequences are voxelized with a geometry precision of 9 to 12 bits, and the voxel color attributes are represented as 8-bit RGB values. The dataset also includes associated normals that make it more suitable for evaluating point cloud compression solutions. The main objective of releasing the UVG-VPC dataset is to foster the development of V3C technologies and thereby shape the future in this field.

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Cite this paper

@article{gautier2025uvgvpc,
  title  = {UVG-VPC: Voxelized Point Cloud Dataset for Visual Volumetric Video-based Coding},
  author = {Guillaume Gautier and Alexandre Mercat and Louis Fréneau and Mikko Pitkänen and Jarno Vanne},
  year   = {2025},
  eprint = {2504.05888},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2504.05888v1}
}

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