Spatial light path analysis and calibration of four-mirror-based monocular stereo vision

The feasibility and accuracy of tour-mirror-based monocular stereo vision (FMSV) are related to the system layout and calibration accuracy, respectively. In this study, a spatial light path analysis method and a calibration method are proposed for an FMSV system. As two-dimensional light path analysis cannot fully characterize the imaging parameters, a spatial light path model is proposed, which allows refinement of the system design. Then, considering the relationship between the lens distortion and the imaging depth of field (DoF), a DoF-distortion equal-partition-based model is established. In the traditional calibration method, the optical axis must be perpendicular to the chessboard. Here, an accurate and practical FMSV calibration method without this constraint is proposed based on the above model. Using the proposed spatial light path analysis technique, a high-accuracy, high-portability FMSV system is constructed and calibrated, for which the average error of the vision-reconstructed distance is 0.0298 mm. In addition, robot path accuracy is evaluated by the system and compared to laser-tracker measurement results. Hence, high accuracy of 0.031 mm is determined for the proposed vision system. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

Automated summary

The feasibility and accuracy of tour-mirror-based monocular stereo vision (FMSV) are related to the system layout and calibration accuracy. In this study, a spatial light path analysis method and calibration method are proposed to refine the system design and improve accuracy. A DoF-distortion equal-partition-based model is established to propose an accurate and practical FMSV calibration method without constraint. The proposed vision system achieves high accuracy with an average error of 0.031 mm.