大型综合性博物馆三维重建与智能虚拟复原软件测试数据集

本数据集为大型综合性博物馆三维重建与智能虚拟复原软件测试专用数据集，聚焦故宫原状陈列文物数字孪生需求，通过三维激光扫描、摄影测量、手工建模等多技术融合采集方法构建。数据采集时间覆盖 2023 年 6 月至 2025 年 9 月，采集地点为故宫博物院，包含可移动文物、古建筑构件等多类型数据，总数据量 2.67GB，数据格式涵盖.obj、.png、.bin、.pcd 等 7 种常用格式。数据集经过严格的质量控制，确保数据完整性、精度一致性和场景代表性，可支撑材质纹理复原、几何优化、斗拱点云补全等算法的测试验证，为文物数字化保护、虚拟展陈及科研分析提供高质量基准数据，具有重要的工程应用与学术研究价值。

This specialized dataset is exclusively designed for testing 3D reconstruction and intelligent virtual restoration software for large-scale comprehensive museums, focusing on the digital twin requirements of cultural relics exhibited in their original state at the Palace Museum. It was constructed using integrated multi-technology data collection methods including 3D laser scanning, photogrammetry, and manual modeling. The data collection period spans from June 2023 to September 2025, with the collection site located at the Palace Museum. The dataset includes multiple types of data such as movable cultural relics and ancient architectural components, with a total data volume of 2.67 GB. The supported data formats cover 7 common types including .obj, .png, .bin, .pcd and others. The dataset has undergone strict quality control to ensure data integrity, accuracy consistency and scene representativeness. It can support the testing and validation of algorithms such as material texture restoration, geometry optimization, and point cloud completion for dougong, providing high-quality benchmark data for digital preservation of cultural relics, virtual exhibitions and scientific research analysis, and holds significant engineering application and academic research value.

搜集汇总

背景与挑战

背景概述

该数据集是专为大型综合性博物馆三维重建与智能虚拟复原软件测试设计的，聚焦故宫博物院文物数字孪生需求，通过三维激光扫描、摄影测量等多技术融合采集，包含可移动文物和古建筑构件等类型数据，总数据量2.67GB，格式多样。数据集经过严格质量控制，支持材质纹理复原、几何优化等算法验证，为文物数字化保护、虚拟展陈和科研分析提供高质量基准数据，具有重要的工程应用与学术研究价值。