Research progress on line-structured light plane calibration methods: a roadmap of precision leaps from traditional calibration to camera vision and deep learning

This article systematically reviews line-structured light plane calibration methods. It notes that traditional methods (the wire-drawing method, toothed-target method, and cross-ratio invariance method) rely on physical measurements and geometric constraints, yielding a limited number of calibration points and limited precision. Methods combined with camera vision algorithms (the light-stripe center point method, vanishing point method, vector cross product method, and direct calibration method via centerline extraction) use the camera's intrinsic and extrinsic parameters to convert pixel coordinates into 3D coordinates, obtaining more high-precision calibration points and generally raising average measurement precision to the sub-millimeter level.