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.