Accuracy comparison of interior orientation parameters from different photogrammetric software and direct linear transformation method

The integration of computer vision algorithms and photogrammetric methods leads to procedures that increasingly automate the image-based 3D modeling process. main objective photogrammetry is obtain a three-dimensional model using terrestrial or aerial images. Calibration camera detection orientation parameters are important for obtaining accurate reliable models. For this purpose, many have been developed in literature. However, since each method has different mathematical background, calibration results may be different. In study, effect interior obtained from on accuracy will examined. context, test area consisting 21 points was used. network coordinated local coordinate system geodetic methods. Some were selected as check point analysis performed. Direct Linear Transformation (DLT) method, MATLAB, Agisoft Lens, Photomodeler, Flow Zephyr software analysed. lowest error value 7.7 cm achieved by modelling with Lens.