This study proposes a method for camera calibration using the properties of conic asymptotes, which are combined with the projective invariance, images of the asymptotes, and image of the absolute points to obtain the vanishing line. Constraints for the image of the absolute conic are obtained from a set of orthogonal vanishing points, the homography, and images of the circular points. The proposed calibration algorithm is compared with several other research methods, and its effectiveness and robustness are verified within a certain error range from the results of simulated and real experiments for different eccentricities without loss of generality.