This paper proposes a novel method that can be used for improving line -scan camera calibration according to the fact that calibration points are easy-missing during calibration.First,we use the specially designed planar pattern and multiple exposures of line-scan camera to produce a virtual stereo calibration pattern.We then analy ze the characteristics of virtual stereo calibration pattern and established a mathematical model to seize the relation between the coordinat es of calibration points on the pattern and those of their images.Second,we employ the technique of least mean square to estimate the center of the calibration image points in sub-pixel resolution.The over-determined equations for multiple feature point s are thus able to be solved by iterative least squares.We also emphatically ana lyze the impact on the calibr ation result that is caused by the non-parallel nature between the camera and calibration pattern.Finally,both the analysis an d experimental results reveal that this proposed line- scan camera calibration method is not only convenient and flexible,but the cali bration points are also independent of calibration pattern,and the condition of parallelism between the calibration pattern an d camera is not required.All these features make our devised line-scan camera calibration method accurate,as precise as 0.26pixel, and more practical.