3D reconstruction accuracy improvement of a stereo vision system by changing the convergence angle of the cameras

摘要

Stereo vision systems are commonly used for 3D depth reconstruction. The measurement accuracy of these scanners is affected by the quantization error caused by the camera sensors. In this paper, the effect of changing the convergence angle of the cameras on the quantization uncertainty is discussed. First, the mathematical model of a stereo vision scanner with the ability to adjust the convergence angle is introduced. Then, the effect of changing the convergence angle on the quantization error reduction is investigated. Finally, physical experiments are designed to validate the proposed approach. The experimental results show that the 3D reconstruction accuracy can be improved by changing the convergence angle of the cameras. (C) 2021 Optica Publishing Group