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

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.