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Learning, Recognition and Navigation from a Sequence of Infrared Images

机译:从一系列红外图像学习,识别和导航

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We address the problem where an autonomous system equipped with an infrared camera "learns" a designated rigid 3-D scene so that later it can recognize and guide itself relative to the reconstructed scene, starting from an approximately known viewpoint, to reach a given destination. This scenario is relevant to several domains, in particular military missions and robotic navigation. A goal of our system is that a real-time implementation be feasible on special hardware. In this paper, we describe the software version of such a system and show results on real infrared images.
机译:我们解决了一个具有红外摄像机的自治系统“了解”指定的刚性3-D场景的问题,以便稍后它可以从大约已知的视点开始识别并引导自身相对于重建的场景来达到给定的目标。这种情况与若干领域有关,特别是军事任务和机器人导航。我们的系统的目标是实时实施在特殊硬件上是可行的。在本文中,我们描述了这种系统的软件版本,并显示了真正的红外图像的结果。

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