A COMPARISON OF SMART PHONE CAMERA CALIBRATION APPROACHES USING THE DIGITAL CLOSE-RANGE PHOTOGRAMMETRY TECHNIQUE

This paper presents a real-time application of mobile phone digital camera calibration adopting two different methods depends on Photo Modeler computer software to determine the distortion parameters and the camera intrinsic. Two different methods were used to assess the calibration process via with two different mathematical models, which are the DLT and the SIFT, to detect and identify the features of the calibration pattern to assess a robust bundle orientation of the targeted geometrical shapes. The results showed that both methods have a standard difference of estimation of the pattern calibration values that do not exceed 1.70 pixels in both X, Y direction with a maximum connectivity of minimum 94% between images, in counter of the Auto-Calibration approach which has a residuals of 2.60 pixels in both direction of X and, Y with a connectivity of 35% as a maximum overlapping percentage between images.