Aerial Implicit 3D Video Stabilization Using Epipolar Geometry Constraint

We present an accurate video stabilization method on aerial videos using the epipolar geometry constraint. Most previous methods used 2D homography for stabilization, but failed to overcome the parallax problem. In this work, we propose to use dense correspondences for stabilization and the epipolar constraint to deal with the parallax effect. We start by estimating the dense correspondences between two frames. The dense correspondences are then used to estimate the epipolar geometry. The epipolar geometry has an implicit 3D constraint that can be used to improve the dense correspondences and handle the parallax. We evaluate our method on a real-life database containing three aerial image sequences. We also compare our method with the dominant 2D method for aerial video stabilization. The quantitative result demonstrates the effectiveness of our approach.