Comparison of the camera calibration between photogrammetry and computer vision

At present, the camera with high resolution has been widely used. However, it is not accurate for the above camera to use the traditional computer vision method for calibration. So, a method for camera calibration in photogrametry is referred to, and the comparison of the coordinate system, parameter definitions and the camera model between in photogrametry and in computer vision is presented. Thus, the calibration result of photogrametry can be transplanted well to computer vision. Finally, 5DmarkII is used as an example, and its calibration result in the photogrametry is verified by OpenCV functions.

I. Introduction

In the field of the computer vision, there are many methods for camera calibration. According to the used calibration object, the methods for camera calibration are sorted as stereo calibration method [1], plane calibration method [2], line calibration method [3], and self-calibration method [4]. However, the constraint conditions will become weaker and the precision will become lower when the dimension is reduced. So, if we need the high precision of the results, the latter two methods are not considered, in addition, it is very difficult to make the calibration block with the three-dimension method. Therefore, the plane calibration method is widely used in the field of computer vision because of its flexibility and simplicity.