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External Reflection Recognition for Glass Walls Surface

机译:用于玻璃墙面的外部反射识别

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摘要

Most buildings in modern cities contain many glass facades to show the modern flavor of architectural design and street view, gradually increase the intensity of the lighting, which is also the first choice for most green and energy-saving buildings. However, the strong reflectivity of the glass facade allows street view or sky to be reflected on the surface of the building, while the transparency allows the visualization of internal objects and interferes with the monitoring of the glass building itself. Such features increase the difficulty of urban building monitoring. In this paper, a multi-layer-separation algorithm based on semantic segmentation method is proposed to realize non-contact monitoring of glass buildings, which separate the reflection and the real object from the monitoring images.
机译:现代城市的大多数建筑含有许多玻璃门面,展示了建筑设计和街景的现代风味,逐渐增加了照明的强度,这也是大多数绿色和节能建筑的首选。然而,玻璃门面的强反射率允许街景或天空反射在建筑物的表面上,而透明度允许内部物体的可视化并干扰对玻璃构建本身的监测。这些功能增加了城市建筑监测的难度。在本文中,提出了一种基于语义分割方法的多层分离算法,实现了玻璃建筑的非接触监测,其将反射和真实对象与监测图像分开。

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