Seeing the unseen: Locating objects from reflections

Inspired by the ubiquitous use of reflections in human vision system, in this paper, we present our first step exploration of using reflections to extend the FOV of cameras in computer vision applications. We make use of a stereo camera, and establish mathematical models for locating objects from their mirror reflections. We also propose a pipeline to track and locate moving objects from their reflections captured in videos. Experimental results demonstrated the efficiency and effectiveness of the proposed method, and verified the potential use of reflections in locating non-line of sight (NLOS) objects