点云
杂乱
计算机科学
激光扫描
建筑模型
点(几何)
文化遗产
原始数据
计算机视觉
人工智能
模拟
激光器
雷达
数学
地理
几何学
电信
光学
物理
考古
程序设计语言
作者
Mattia Previtali,Marco Scaioni,Luigi Barazzetti,Raffaella Brumana
出处
期刊:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
日期:2014-08-07
卷期号:II-3: 119-126
被引量:31
标识
DOI:10.5194/isprsannals-ii-3-119-2014
摘要
Abstract. Terrestrial Laser Scanning data are increasingly used in building survey not only in cultural heritage domain but also for as-built modelling of large and medium size civil structures. However, raw point clouds derived from laser scanning generally not directly ready for the generation of such models. A time-consuming manual modelling phase has to be taken into account. In addition the large presence of occlusion and clutter may turn out in low-quality building models when state-of-the-art automatic modelling procedures are applied. This paper presents an automated procedure to convert raw point clouds into semantically-enriched building models. The developed method mainly focuses on a geometrical complexity typical of modern buildings with clear prevalence of planar features A characteristic of this methodology is the possibility to work with outdoor and indoor building environments. In order to operate under severe occlusions and clutter a couple of completion algorithms were designed to generate a plausible and reliable model. Finally, some examples of the developed modelling procedure are presented and discussed.
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