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Features extraction of fluorescent light image for positioning information acquisition using steerable Gaussian filter

机译:利用可转向高斯滤波器提取荧光图像特征以获取定位信息

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Indoor positioning technology has been a goal of ubiquitous computing research. In this paper, we show the feasibility of detecting fluorescent light based on the camera images received from a smart phone. We present a robust and real time approach to fluorescent light detection in indoor environments. It is based on taking a ceiling image by Smartphone image sensor, filtering using selective oriented Gaussian filters. Our algorithm can detect all fluorescent light in still images of indoor environments in various conditions.
机译:室内定位技术已成为无处不在的计算机研究的目标。在本文中,我们展示了基于从智能手机接收到的相机图像检测荧光的可行性。我们为室内环境中的荧光灯检测提供了一种强大且实时的方法。它基于智能手机图像传感器拍摄的天花板图像,并使用选择性定向的高斯滤波器进行滤波。我们的算法可以在各种条件下检测室内环境的静止图像中的所有荧光。

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