基于图像的城市环境几何变化检测

Aparna Taneja, Luca Ballan, M. Pollefeys
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引用次数: 89

摘要

在本文中,我们提出了一种有效的技术来检测城市环境的几何变化,使用一些图像来观察其当前状态。所提出的方法可以通过将此过程限制在检测到变化的区域,从而显著优化城市随时间变化的3D模型更新过程。考虑到这个应用程序,我们设计的算法专门检测环境中的结构变化,忽略其外观的任何变化,并且忽略所有与更新目的无关的变化,例如汽车,人等。作为副产品,该算法还提供了检测到的变化的粗略几何形状。在四种不同的城市环境中测试了该方法的性能,并与两种替代技术进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image based detection of geometric changes in urban environments
In this paper, we propose an efficient technique to detect changes in the geometry of an urban environment using some images observing its current state. The proposed method can be used to significantly optimize the process of updating the 3D model of a city changing over time, by restricting this process to only those areas where changes are detected. With this application in mind, we designed our algorithm to specifically detect only structural changes in the environment, ignoring any changes in its appearance, and ignoring also all the changes which are not relevant for update purposes, such as cars, people etc. As a by-product, the algorithm also provides a coarse geometry of the detected changes. The performance of the proposed method was tested on four different kinds of urban environments and compared with two alternative techniques.
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