为保护文化遗产对历史建筑进行四维数字监测和登记

Mohamed Saleh Sedek, M. Touahmia, G. Albaqawy, E. Latifee, Tarek Mahioub, Ahmed Sallam
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引用次数: 0

摘要

通过监测、登记和分析历史建筑结构的损坏情况来保护文化遗产会带来巨大的财务和后勤负担。我们以埃及历史悠久的巴隆宫为例,研究了监测和登记受损物体的 4D(四维)扫描范围和光栅图像的方法。在该方法中,我们首先准备并观察了受损的历史模型。在预先确定的日期和时间,使用激光扫描仪对受损的历史模型进行扫描。与此同时,模型的数字图像(通过校准过的数字照相机)被捕获并存储在研究人员的平板设备上。通过观察和比较扫描模型与数字图像,确定几何缺陷及其程度。然后,在地图上检测观察到的数据组件。然后,使用能量色散(SEM;扫描电子显微镜,Gemini Zeiss-Ultra 55)和 XRF(X 射线荧光)光谱分析系统对受损雕像材料进行调查,以确定雕像的大理石元素,结果表明,SEM-EDX 和 XRF 分析准确地确定了受损雕像的主要和次要成分。然后,分两个阶段对受损模型进行了登记。在注册阶段,通过检测云中的最近点和 RiSCAN 中的 ICP(迭代最近点)算法自动确定相应的点。在 RiSCAN 中,(宫殿和受损雕像的)点云提供了非常详细的分辨率和更逼真的图像,但这是一个昂贵的程序。最后,我们对配准任务的精确度进行了评估;标准偏差在可接受的范围内,并且随着配准计算中使用的多数据观测值数量的增加而呈不规则增长趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Four-Dimensional Digital Monitoring and Registering of Historical Architecture for the Preservation of Cultural Heritage
Preserving cultural heritage through monitoring, registering, and analyzing damage in historical architectural structures presents significant financial and logistical burdens. Developed approaches for monitoring and registering 4D (4-dimensional)-scanned range and raster images of damaged objects were investigated in a case study of historical Baron Palace in Egypt. In the methodology, we first prepared and observed the damaged historical models. The damaged historical models were scanned using a laser scanner at a predetermined date and time. Simultaneously, digital images of the models were captured (by a calibrated digital camera) and stored on a researcher’s tablet device. By observing and comparing the scanned models with the digital images, geometric defects and their extent are identified. Then, the observed data components were detected on the map. Then, damaged statue materials were investigated using system of energy dispersive (SEM; scanning electron microscope, Gemini Zeiss-Ultra 55) and XRF (X-ray fluorescence) spectroscopic analysis to identify the statue’s marble elements, and the results indicate that SEM-EDX and XRF analyses accurately identify major and minor compositions of the damaged statue. Then, the damaged models were registered in two stages. In the registration stages, the corresponding points were determined automatically by detecting the closest points in the clouds and ICP (iterative closest point) algorithm in RiSCAN. The point clouds (of the Palace and damaged statues) gave very detailed resolutions and more realistic images in RiSCAN, but it is a costly program. Finally, the accuracies of the registration tasks were assessed; the standard deviations are within acceptable limits and tend to increase irregularly as the number of polydata observations used in the registration calculations increase.
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