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UVG-CWI-DQPC: Dual-Quality Point Cloud Dataset for Volumetric Video Applications

Introduction

On this website, we present the UVG-CWI-DQPC dataset, which is a Dual-Quality Point Cloud Dataset for Volumetric Video Applications.

Volumetric video is a key enabler of immersive extended reality (XR) experiences and is often represented using point clouds for their structural simplicity. However, capturing volumetric content through multi-view acquisition and depth sensing poses many challenges, such as occlusions and depth mismatches. To foster research in this field, we introduce a unique dual-quality point cloud dataset, named UVG-CWI-DQPC, which is designed to support the development of point cloud enhancement, compression, and quality assessment. Our dataset includes 12 dynamic sequences captured simultaneously by:

  1. a high-end capture system producing high-fidelity point clouds with extensive processing; and
  2. a consumer-grade capture system relying on affordable RGB-D cameras, lightweight processing, and open-source tools.

For each sequence, our dataset provides ground-truth point clouds from the high-end capture system and raw RGB-D footage from the consumer-grade capture system, along with calibration data and tools for point cloud generation. This dual-quality setup enables direct comparison and benchmarking of algorithms for densification, occlusion removal, registration, and quality enhancement. Our dataset is publicly available under a permissive license to support reproducible research and standardization work in Moving Picture Experts Group (MPEG) and 3rd Generation Partnership Project (3GPP).

Contents

The following samples give characteristics of the Dual-Quality Point Cloud sequences in the dataset, with the left image recorded using a high-end and the right image recorded using a consumer grade capturing system:

BlueSpeech

A person delivers a speech while using hand gestures

Length: 169 frames
Special Features: Moderate movement; Human; Simple textures
BlueVolley

A person plays with a volleyball, passing the ball behind the back and between the legs

Length: 171 frames
Special Features: Fast movement; Human; Object; Interactions; Complex texture; High occlusion
BouncingBlue

A person sits and bounces on a gym ball

Length: 157 frames
Special Features: Global movement; Human; Object; Interactions; Simple textures
FitFluencer

A person stretches their back sideways from one side to the other

Length: 201 frames
Special Features: Global movement; Human; Simple textures
GoodVision

A person conducts an eye exam, presenting letters on a chart one at a time

Length: 168 frames
Special Features: Little movement; Human; Objects; Text; Simple textures
Mannequin

A mannequin wearing a head-mounted display (HMD) and a t-shirt with various logos stands still. The t-shirt shifts slightly

Length: 188 frames
Special Features: Static sequence; Objects; Text; Complex textures
OrangeKettlebell

A person performs multiple repetitions of the kettlebell swing exercise

Length: 170 frames
Special Features: Global movement; Human; Object; Simple textures
PinkNoir

A person adopts various poses facing the camera

Length: 201 frames
Special Features: Little movement; Human; Simple textures
TicTacToe

Two persons play Tic Tac Toe using plastic building bricks

Length: 165 frames
Special Features: Fast movement; Humans; Objects; Interactions
TrumanShow

A person greets cameras all around with smiles and gestures

Length: 171 frames
Special Features: Fast movement; Human; Simple textures
VictoryHeart

A person greets the camera with friendly hand gestures and forms a heart shape

Length: 197 frames
Special Features: Moderate movement; Human; Simple textures
VirtualLife

A person wearing a head mounted display (HMD) engages in virtual reality gameplay, involving arm movements and body rotations

Length: 196 frames
Special Features: Fast movement; Human; Object; Simple textures

Publications

  1. G. Gautier, X. Zhou, T. Nguyen, J. Jansen, L. Fréneau, M. Viitanen, U. Phan, J. Käpylä, I. Viola, A. Mercat, and P. Cesar UVG-CWI-DQPC: Dual-Quality Point Cloud Dataset for Volumetric Video Applications}. In Proceedings of the 33rd ACM International Conference on Multimedia, 2025.

Downloads

  1. Dynamic Point Cloud Quality Score & Eye-tracking Dataset (QAVQ-DPC) - UVG-CWI-DQPC: Dual-Quality Point Cloud Dataset for Volumetric Video Applications
    LinkDataset 

Contact

For questions about this research, please contact Xuemei Zhou (xuemei.zhou [at] cwi.nl)