Camera calibration and relative pose estimation from gravity

We examine the potential use of gravity for camera calibration and pose estimation purposes. Concretely, objects being launched ol dropped follow trajectories dictated by the law of gravity. We examine if video sequences of such trajectories give us exploitable constraints for estimating the imaging geometry. It is shown that it is possible to estimate the infinite homography and the epipolar geometry between pairs of views from this input, fi om which we can estimate (some) intrinsic parameters and relative pose. There ale less singularities compared to approaches that do nor we the information that the observed trajectories follow gravity. In this paper; we sketch the geometric principles of our idea and validate them by numerical simulations.