Coded marker-based high-accuracy motion estimation

In order to achieve accurate foreground motion estimation, a coded marker-based high-accuracy motion estimation method is proposed in this paper. First, several circular coded markers are pasted on the foreground and background of the measurement environment. Then, several images are captured after each foreground motion. Finally, based on the captured images, all the camera poses and the spatial coordinates of the fixed markers on the background and the moving markers on the foreground are estimated simultaneously to obtain the 6 Degrees of Freedom (DoF) parameters (rotation and translation) of foreground motion. To this end, a high-accuracy motion estimation pipeline is proposed in this paper, which includes RANdom SAmple Consensus (RANSAC)-based coded marker detection and recognition, graph clustering-based coded marker and camera partitioning, incremental Structure from Motion (SfM)-based background marker and camera initialization, graph optimization-based foreground marker and foreground motion initialization, and generalized Bundle Adjustment (BA)-based global optimization. The experimental results show that the accuracy of the proposed foreground motion estimation method is approximately 0.3 mm, which is satisfactory for high-accuracy foreground motion estimation. © 2021, Science Press. All right reserved.