Camera calibration has always been an essential component of photogrammetric
measurement, especially in high-accuracy close-range applications. Although the rapid
growth in adoption of digital cameras in 3D measurement applications, there are many
situations where the geometry of the image network will not support robust recovery of
camera parameters via on-the-job calibration. For this reason, stand-alone camera
calibration has again emerged as an important issue in photogrammetry and computer
vision.
In this paper, we give a rapid overview of the approaches adopted for camera
calibration in photogrammetry and computer vision. Also, we compare the method of selfcalibration,
largely used in photogrammetry, with the tow-steps method applied in
computer vision for digital camera calibration.
