Research on the rigid body posture measurement using monocular vision by coplanar feature points

Taking monocular vision pose parameters determine as research background, a new pose measurement method using improved two-stage iterative algorithm with quadrilateral targets was proposed for optimization of the rigid body posture measurement calculating model to overcome the problem of lack of depth of field. So, we designed the monocular vision rigid body posture measurement system, determined a method to unify the each feature point measure coordinates in each coordinate system under the experimental conditions. Then, we analyzed the theoretical sources of error from rigid body posture measurement system simulation experiments. Finally, gave the comprehensive error of measurement system with the actual experimental analysis system under the condition of simulation error of pose accuracy of measurement. The results demonstrate its effectiveness and will improving measurement precision of certain theoretical guiding significance.