Modeling the measurement accuracy for binocular stereo vision system

Binocular stereo vision technology is widely used in the 3D measurements of aerospace, the automotive industry, and in other fields. However, its measurement accuracy is limited by many error factors and is difficult to improve. This paper presents a modeling method for the measurement accuracy of binocular stereo vision systems, providing a theoretical basis for system optimization design and accuracy improvement. Firstly, the main factors affecting the measurement accuracy of binocular stereo vision system are quantitatively analyzed, including system structural parameters, camera distortion, marker point center positioning errors, focal length, etc. Then, based on the principles of uncertainty calculation and spatial point 3D reconstruction, the measurement error transfer function is derived. By obtaining the errors of various parameters in the calibration process, this transfer function can be used to accurately predict the error at any positions within the measurement volume. Finally, the effectiveness of the error transfer function in predicting measurement error is verified through standard point distance measurement experiments.