UVG-VPC: Voxelized Point Cloud Dataset for Visual Volumetric Video-based Coding
Journal:
arXiv
Published Date:
Apr 8, 2025
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.
