Binocular vision measurement system based on corrected binocular rectification

This paper presents an improved stereo vision measurement system with enhanced binocular rectification. Traditional binocular vision algorithms do not constrain the two cameras to be perpendicular to the measurement baseline during the rectification phase, leading to inaccurate vertical distance measurements between two points. To address this issue, a binocular rectification method based on plane normal constraints is proposed. Initially, the camera calibration yields the initial correction transformation matrix. The matrix is then refined by adjusting the correction transformation matrices of both cameras based on the normal of the reference plane. Subsequently, the rectified images are obtained using the refined projection matrices, and the spatial coordinates of the measured points are computed through stereo matching algorithms. Experimental results demonstrate that the improved method enhances measurement accuracy significantly.