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

Volumetric video is a key enabler of immersive extended reality 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 and 3rd Generation Partnership Project.

体视视频（Volumetric video）是沉浸式扩展现实体验的关键赋能技术，因其结构简洁，常采用点云作为其表示载体。然而，通过多视图采集与深度传感获取体视内容面临诸多挑战，例如遮挡问题与深度失配问题。为推动该领域的研究，本文提出一款独特的双质量点云数据集UVG-CWI-DQPC，旨在为点云增强、压缩与质量评估相关技术的研发提供支撑。本数据集包含12组动态序列，均通过两套采集系统同步获取：1）高端采集系统，经深度处理后生成高保真点云；2）消费级采集系统，依托低成本RGB-D相机、轻量化处理流程与开源工具完成采集。针对每组序列，本数据集提供来自高端采集系统的真值点云（ground-truth point clouds），以及来自消费级采集系统的原始RGB-D影像数据，同时附带标定数据与点云生成工具。这种双质量采集方案支持对点云致密化、遮挡去除、配准以及质量增强相关算法进行直接对比与基准测试。本数据集采用宽松许可协议公开发布，旨在支持动态图像专家组（Moving Picture Experts Group，MPEG）与第三代合作伙伴计划（3rd Generation Partnership Project，3GPP）领域内可复现研究与标准化工作的开展。

搜集汇总

背景与挑战

背景概述

该数据集是一个专为体视频应用设计的双质量点云数据集，包含12个动态序列，通过高端系统和消费级RGB-D相机同时捕获，提供高保真点云和原始素材，用于支持点云增强、压缩和质量评估算法的研究与基准测试。数据集以. ply格式发布，采用CC BY 4.0许可，旨在促进可重复研究和标准化工作，但数据本身需通过外部链接获取。