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Graph-based markerless registration of city maps using geometric hashing

机译:使用几何哈希的基于图的无标记城市地图配准

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Recently, augmenting paper maps with additional dynamic information on mobile devices has become popular. A central task in this context is to register high-resolution paper maps to digital maps on a mobile device, which was typically performed by means of RFID tags or visual markers on specially prepared paper maps. In this paper we present a novel graph-based approach for a markerless registration of city maps. The goal is to find the best registration between a given image, which shows a small part of a city map, and stored map data. The proposed method creates a graph representation of a given input image and robustly finds an optimal registration using a geometric hashing technique. It is translation, scale and rotation invariant, and robust against noise and missing data. Experiments on both synthetic and real data are presented to demonstrate the algorithmic performance.
机译:近来,在移动设备上用附加动态信息来增强纸质地图已经变得很流行。在这种情况下的中心任务是将高分辨率纸质地图注册到移动设备上的数字地图,这通常是通过在专门准备的纸质地图上的RFID标签或可视标记执行的。在本文中,我们提出了一种新颖的基于图的城市地图无标记注册方法。目的是在显示城市地图一小部分的给定图像与存储的地图数据之间找到最佳配准。所提出的方法创建给定输入图像的图形表示,并使用几何哈希技术稳健地找到最佳配准。它是平移,缩放和旋转不变的,并且抗噪声和丢失数据。进行了合成和真实数据实验,以证明算法的性能。

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