Learning, recognition and navigation from a sequence of infrared images

Abstract

We address the problem in which an autonomous system equipped with a single infrared camera "learns" a designated rigid 3D scene so that, at another time, it can recognize it and guide itself relative to the reconstructed scene, starting from an approximately known viewpoint, to reach a give destination. This scenario is relevant to several domains, in particular military missions and robotic navigation. The goal of our system is to realise a real-time implementation (on special hardware). In this paper, we describe the software version of such an automated system and show results on real infrared images.