Robust random dot markers: towards augmented unprepared maps with pure geographic features
Robust random dot markers: towards augmented unprepared maps with pure geographic features
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鲁棒的随机点标记：面向具有纯地理特征的增强未准备的地图
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
G. Moreau
中科院分区：
文献类型：
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作者：
Liming Yang;Jean;G. Moreau
增广地图有许多重要的应用。然而，没有成熟的注册方法存在关联未经准备的地图与地理信息系统（GIS）数据库，这将被用来验证模拟结果或路线显示在纸质地图上。在本文中，我们提出了一种称为鲁棒随机点标记（RRDM），可以鲁棒地跟踪共面随机点图案，这可以用来解决这个问题。RRDM基于[Uchiyama and Saito 2011]提出的随机点标记（RDM）相同的思想，它可以用作基准标记以及纹理独立的“自然标记”。我们进行了一系列的实验，并表明RRDM是更强大的比RDM抖动，透视失真，下和过检测的图案中的点。作为一个例子，“自然标记”，我们表明RRDM可以成功地注册未经准备的印刷地图，只有纯地理特征，即道路交叉口坐标，我们从GIS检索。我们的方法不遭受传统的“特征点”为基础的注册方法，主要是基于纹理的缺点，因为纹理可能会根据不同的地图。
Augmented maps have many important applications. However, no mature registration method exists to associate unprepared maps with a Geographical Information System (GIS) database which would be used to superimpose simulation results or route display on a paper map. In this paper, we propose a method called Robust Random Dot Markers (RRDM) that can robustly track coplanar random dot patterns, which can be used to address this problem. RRDM is based on the same idea of the Random Dot Markers (RDM) proposed by [Uchiyama and Saito 2011] and it can serve as fiducial markers as well as texture independent "natural markers". We conduct a series of experiments and show that RRDM is more robust than RDM in terms of jitter, perspective distortion, under and over detection of dots in the pattern. As an example of "natural marker", we show that RRDM can successfully register unprepared printed maps only with pure geographic features, i.e. road intersections coordinates, which we retrieve from a GIS. Our method does not suffer from the drawbacks of traditional "feature-point" based registration methods which mainly based on textures, since textures may change according to different maps.