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Intelligent Digital Built Heritage Models: An Approach from Image Processing and Building Information Modelling Technology

机译:智能数字构建遗产型号:图像处理和建筑信息建模技术的一种方法

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Conservation and maintenance of historic buildings have exceptional requirements and need a detailed diagnosis and an accurate as-is documentation. This paper reports the use of Unmanned Aerial Vehicle (UAV) imagery to create an Intelligent Digital Built Heritage Model (IDBHM) based on Building Information Modeling (BIM) technology. Our work outlines a model-driven approach based on UAV data acquisition, photogrammetry, post-processing and segmentation of point clouds to promote partial automation of BIM modeling process. The methodology proposed was applied to a historical building facade located in Brazil. A qualitative and quantitative assessment of the proposed segmentation method was undertaken through the comparison between segmented clusters and as-designed documents, also as between point clouds and ground control points. An accurate and detailed parametric IDBHM was created from high-resolution Dense Surface Model (DSM). This Model can improve conservation and rehabilitation works. The results demonstrate that the proposed approach yields good results in terms of effectiveness in the clusters segmentation, compared to the as-designed model.
机译:历史建筑的保护和维护具有卓越的要求,需要详细诊断和准确的产品。本文报告了使用无人机(UAV)图像的使用,基于建筑信息建模(BIM)技术来创建智能数字建立的遗产模型(IDBHM)。我们的工作概述了基于UAV数据采集,摄影测量,点云后处理和分割的模型驱动方法,以促进BIM建模过程的部分自动化。提出的方法应用于位于巴西的历史建筑面前。通过在点云和地面控制点之间的分段集群和设计文件之间的比较来进行对所提出的分割方法的定性和定量评估。从高分辨率密集表面模型(DSM)创建了准确和详细的参数IDBHM。该模型可以改善保护和康复工作。结果表明,与设计模型相比,该方法在集群分割的有效性方面产生了良好的结果。

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