Self-calibration method of gyroscope and camera in video stabilization

With the rapid development of image acquisition technology, video stabilization becomes increasingly important. The gyroscope-based video stabilization methods obtain camera motion path through gyroscope, which can avoid the poor image quality affecting the video stabilization effect. However, the camera motion path obtained by the gyroscope is in the gyroscope coordinate system, and there is a rotation relationship between the gyroscope coordinate system and the camera coordinate system. Therefore, a self-calibration method of gyroscope and camera in video stabilization is proposed. By collecting the video sequence with rich features, the camera motion is estimated according to the image information. At the same time, the camera motion in the gyroscope coordinate system is obtained by using the gyroscope data, and the rotation relationship between two coordinate systems is obtained by optimizing the minimum distance between the paths in two coordinate systems. The experimental results show that the proposed method can improve the video stabilization accuracy, and is more flexible.