摘要：Camera calibration based on point features leads the main trends in vision-based measurement systems for both fundamental researches and potential applications. However, the calibration results tend to be affected by the precision of the feature point extraction in the camera images. As the point features are noise sensitive, line features are more appropriate to provide a stable calibration due to the noise immunity of line features. We propose a calibration method using the perpendicularity of the lines on a 2D target. The objective function of the camera internal parameters is theoretically constructed by the reverse projections of the image lines on a 2D target in the world coordinate system. We experimentally explore the performances of the perpendicularity method and compare them with the point feature methods at different distances. By the perpendicularity and the noise immunity of the lines, our work achieves a relatively higher calibration precision.
