Watching the watchers: Camera identification and characterization using retro-reflections - Dataset

<p>A focused imaging system such as a camera will reflect light directly back at a light source in a retro-reflection (RR) or cat-eye reflection. RRs provide a signal that is largely independent of distance providing a way to probe cameras at very long ranges. We find that RRs provide a rich source of information on a target camera that can be used for a variety of remote sensing tasks to characterize a target camera including predictions of rotation and camera focusing depth as well as cell phone model classification. We capture three RR datasets to explore these problems with both large commercial lenses and a variety of cell phones. This repository contains time-synced videos from the perspective of both a retro-reflective probe and a target camera that can be used to train algorithms for different remote sensing tasks. We include a dataset for cellphone classification, target camera rotation prediction, and target camera focusing depth prediction.</p>