A Novel Relative Camera Motion Estimation Algorithm with Applications to Visual Odometry
Yue Ming Jiang, Mun-Cheon Kang, Ming Fan, Sung-Ho Chae, Sung-Jea Ko · 2018
In this paper, we propose a novel method to estimate the relative camera motions of three consecutive images. Given a set of point correspondences in three views, the proposed method determines the fundamental matrix representing the geometrical relationship between the first two views by using the eight-point algorithm. Then, by minimizing the proposed cost function with the fundamental matrix, the relative camera motions over three views are precisely estimated. The experimental results show that the proposed method outperforms the conventional two-view and three-view geometry-based method in terms of the accuracy.