A multi-image orientation is one of the most important tasks in photogrammetry and 3D modelling in computer vision. The accuracy of image orientation and camera calibration significantly influences the quality of all consecutive processes, such as a determination of spatial coordinates of individual points or 3D modelling. Therefore, orientation and calibration are an essential prerequisite for several applications. In the last years, various types of algorithms and software provided as an open-source software that allow to perform these processes with varying degrees of user interventions and settings have begun to appear and be used. The aim of this work is to focus on the most accessible and potentially the most suitable types of such software (or web services) and to compare their reliability, quality of spatial object reconstruction into digital spatial data and the quality of photo-texture, provided by them. For this purpose, a testing solid body made of a suitable material and with a suitable shape and dimensions, whose images were acquired by a DSLR camera, was used. Subsequently, these images were used for testing and comparison of individual open-source photogrammetric software.
