Cornice Detection Using Façade Image and Point Cloud

Q Social Sciences
W. Brandenburger, M. Drauschke, H. Mayer
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引用次数: 3

Abstract

puter vision. The Internet of things is another application for high resolution interpreted 3D scenes. According to LEBERL et al. (2012), information down to 3 cm resolution is needed for virtual navigation through urban spaces. Therefore, also the recognition of small details on building façades will be required for realistic models of the environment. LEBERL et al. (2012) derive large and highly detailed 3D models of urban spaces from various data sources. Aerial images are used to generate coarse building and landscape models, whereas laser scans and terrestrial images from mobile sensing platforms are employed for the determination of models with more detail. If these results can be merged with future results of automated approaches for the interpretation of façades such as HOHMANN et al. (2009), the combination will make automatic
基于灰度图像和点云的飞檐检测
把视野。物联网是高分辨率解释3D场景的另一个应用。根据LEBERL等人(2012)的研究,通过城市空间的虚拟导航需要分辨率低至3厘米的信息。因此,对建筑立面的小细节的识别也将需要对环境的现实模型。LEBERL等人(2012)从各种数据源中导出了大型且非常详细的城市空间3D模型。航空图像用于生成粗略的建筑和景观模型,而激光扫描和来自移动传感平台的地面图像用于确定更详细的模型。如果这些结果可以与HOHMANN等人(2009)等自动化方法解释farades的未来结果合并,则组合将使自动化
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来源期刊
Photogrammetrie Fernerkundung Geoinformation
Photogrammetrie Fernerkundung Geoinformation REMOTE SENSING-IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
CiteScore
1.36
自引率
0.00%
发文量
0
审稿时长
>12 weeks
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