ABSTRACT

3D point cloud data from data acquisition techniques such as terrestrial photogrammetry, close range photogrammetry (CRP) and light detection and ranging (LiDAR) play a major role in heritage because of the large amount of information they provide. This data includes the metric accuracy of the objects surface, reflectivity information and materials texture. The point clouds can be exported to Building Information Models (BIM) to simplify the 3D modelling processes, thus becoming part of the restoration and reconstruction project. Currently, most scientific works in the field implement insertion procedures of point clouds into BIM, whose interoperability should be analysed in order to reveal its usefulness in heritage buildings modelling. This paper reviews the scientific literature on the integration of Terrestrial Laser Scanning (TLS) and Structure-from-Motion/Multi-View Stereo (SfM/MVS) data into HBIM. Despite having been investigated, this field lacks a methodological structure regarding the integration of point cloud data into HBIM.

摘要

来自地面摄影测量、近距离摄影测量 (CRP) 和光探测与测距 (LiDAR) 等数据采集技术的 3D 点云数据在遗产中发挥着重要作用，因为它们提供了大量信息。该数据包括物体表面的度量精度、反射率信息和材料纹理。点云可以导出到建筑信息模型 (BIM) 以简化 3D 建模过程，从而成为恢复和重建项目的一部分。目前，该领域的大多数科学工作都将点云插入到 BIM 中，应分析其互操作性以揭示其在遗产建筑建模中的有用性。本文回顾了有关将地面激光扫描 (TLS) 和运动结构/多视图立体 (SfM/MVS) 数据集成到 HBIM 中的科学文献。尽管已经进行了调查，但该领域缺乏将点云数据集成到 HBIM 中的方法结构。