Improved 3D reconstruction method based on the Scheimpflug principle

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.