This paper proposes a 3D reconstruction scheme for monocular cameras based on an improved line structure cursor positioning method and the Scheimpflug principle to overcome the limitations of current calibration methods for line-structured light 3D reconstruction and binocular stereo vision matching. Unlike the traditional line structure cursor positioning method, the line-structured light is projected on a blank area of a high-precision chessboard target to avoid the low corner point extraction accuracy caused by the intersection of the structured light strip and the chessboard target. The 3D coordinates of the point in the camera coordinate system can be obtained by combining the linear equation between the origin and the center point of the light stripe on the target and the plane equation of the target. The light plane equation is obtained through data fitting on the basis of the 3D information of the light stripe center of two or more pictures. The experimental system allows the position relationship of the light source, lens, and complementary metal oxide semiconductor to meet the Scheimpflug conjugate’s clear imaging conditions for improving the visual range of the measurement system. Results show that the measurement system obtains good measurement accuracy and robustness.

中文翻译：

---

基于Scheimpflug原理的改进3D重建方法

本文提出了一种基于改进的线结构光标定位方法和Scheimpflug原理的单眼相机3D重建方案，以克服当前用于线结构光3D重建和双目立体视觉匹配的校准方法的局限性。与传统的线结构光标定位方法不同，线结构光投射在高精度棋盘目标的空白区域上，以避免结构化光带和棋盘目标相交导致的角点提取精度低。相机坐标系中该点的3D坐标可以通过组合目标上光带的原点和中心点之间的线性方程式以及目标的平面方程式来获得。通过基于两个或更多图片的光条纹中心的3D信息进行数据拟合获得光平面方程。该实验系统允许光源，透镜和互补金属氧化物半导体的位置关系满足Scheimpflug共轭物的清晰成像条件，从而改善了测量系统的可视范围。结果表明，该测量系统具有良好的测量精度和鲁棒性。