Aiming at the problems of high cost, complex installation, and poor quality of 3D contour reconstruction at present, a vehicle contour dimension measurement method based on binocular vision is proposed. The method firstly corrects the vehicle image pair collected by the binocular camera, and calculates and generates the vehicle disparity map through the improved stereo matching algorithm. Based on the principle of 3D measurement of binocular vision, the disparity information of the vehicle contour is calculated for 3D reconstruction, and the vehicle point cloud is generated. Aiming at the problem of missing vehicle contour data in camera blind area, a point cloud symmetry repair method based on license plate recognition is designed to generate a complete three-dimensional vehicle contour. The experimental results show that the measurement and indication errors of the three vehicle models are all less than 1%, and the vehicle model reconstruction integrity is high.