External Reflection Recognition for Glass Walls Surface

Yongbin Wei, S. Zhi, Shi Liu
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Abstract

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.
玻璃墙表面的外反射识别
现代城市的大多数建筑都包含许多玻璃幕墙,以显示建筑设计和街景的现代气息,逐渐增加照明强度,这也是大多数绿色节能建筑的首选。然而,玻璃立面的强反射率使街景或天空可以反射到建筑表面,而透明度则允许可视化内部物体,并干扰对玻璃建筑本身的监控。这些特点增加了城市建筑监控的难度。本文提出了一种基于语义分割方法的多层分离算法,实现了对玻璃建筑的非接触式监控,将监控图像中的反射和真实物体分离出来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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