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Quality visual landmark selection based on distinctiveness and repeatability

机译:基于独特性和可重复性的高质量视觉地标选择

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In this study, a method for landmark selection from image streams captured by a camera mounted on a mobile robot is described. To select stable visual landmarks for mobile robots, two measures regarding landmark “visibility” are considered: distinctiveness and repeatability. In the proposed method, several neighboring feature points form a visual landmark and their distinctiveness is evaluated in each image. Then, under the assumption that a robot can actively seek a feasible landmark, the repeatability of the landmark is evaluated. Weighting techniques using feature-position relations are proposed, and landmark selection criteria using a variation coefficient are employed. These allow us to select high-visibility landmarks. Experimental results obtained using a real mobile robot demonstrate the effectiveness of the proposed method.
机译:在这项研究中,描述了一种从安装在移动机器人上的摄像机捕获的图像流中选择地标的方法。为了为移动机器人选择稳定的视觉界标,考虑了有关界标“可见性”的两种措施:独特性和可重复性。在提出的方法中,几个相邻的特征点形成一个视觉界标,并在每个图像中评估它们的独特性。然后,在假设机器人可以主动寻找可行的界标的情况下,评估界标的可重复性。提出了使用特征-位置关系的加权技术,并采用了使用变异系数的地标选择标准。这些使我们能够选择高可见度的地标。使用真实的移动机器人获得的实验结果证明了该方法的有效性。

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