## 1 Introduction  
Close-range photogrammetry (CRP) is a versatile surveying technology able to create object models of different sizes, from small industrial elements to large buildings [1; 2]. The accuracy of CRP mostly depends on the size of the pixel, the distance between subsequent camera positions, and the respective distances to the photographed item. Moreover, the essential factor is the distribution, density, and accuracy of the control points. Such phototopints deployed on engineering objects and captured with CRP or terrestrial laser scanning (TLS) are usually measured using classical methods by utilizing total stations, for example [3; 4; 5; 6; 7]. The CRP techniques are used in various engineering tasks related to studying the geometry of structures [8], both on the macro and micro scale [9; 10]. According to the current state-of-the-art in land surveying and the capacities offered by modern computers, it is possible to apply CRP for capturing static and dynamic objects in motion. For example, in publication [11], the authors focused on the self-developed photogrammetric system consisting of dedicated hardware and employing a unique adjustment strategy to determine the accurate position of the mapped elements. They proved that such an integratedapproach significantly increases the positioning accuracy allowing for fast registration of the existing scenes. The GNSS satellite receiver and the IMU inertial unit were used as additional devices supporting the integrated surveying. Another work [12] discusses precisely capturing geometrical changes in 2D using CRP. The proposed research method allows for high accuracy in determining displacements of the object's control points expressed, even in sub-millimeter values. The presented method consists of a geometric system utilizing different camera positions and is mainly dedicated to indoor applications. The high accuracy was confirmed by a comparative study evaluating the displacements of the single-name points placed in a test stand using micrometers with a resolution of 0.01 mm. The root-means-square (RMS) values of the differences between the predefined and evaluated displacements in the two directions (local X and Y) are 0.11 and 0.02 mm, which closely predisposes this approach to metrological tasks. However, relatively small entities placed in a limited space were assessed in this case. A comparative study on the influence of control points number on CRP positioning is explained in [13]. Nevertheless, the studied solution concerns aerial photogrammetry using unmanned aerial vehicles (UAV). The obtained accuracies vary within a few centimeters, allowing for the solution to map the displacements of natural objects of considerable size (for example, open-pit mines, geotechnical structures, slopes, or embankments) [14]. All previously cited works, together with [15], confirm the usefulness of photogrammetric methods in industrial solutions, which require the exact determination of the examined geometry elements. Recently, low-cost solutions have also become very popular in the precise dimensioning of things [16]. This approach uses inexpensive devices and technologies, competing with well-known, classic solutions provided by recognized manufacturers. The study [17] presented a low-cost CRP system for imaging building facades. Such a system uses a specially designed measuring set employing a camera with a laser distance meter, making it possible to conduct measurements with millimeter-level accuracy. The authors used the self-developed software to assess the impact of various uncertainties (including camera calibration errors) on the surveying results. In this case, a crucial factor was recognizing the measurement set's geometrical parameters, which determines the absolute accuracy of the derived object model. CRP is also successfully used together with other techniques for remote detection of object geometry [18], such as TLS. An example of such integration in archaeological applications is shown in [19].