Nowadays the generation of a three-dimensional (3D) model is mainly achieved using non-contact systems based on light waves, in particular using active or passive sensors. We can currently distinguish four alternative methods for object and scene modeling: (i) image-based rendering, which does not include the generation of a geometric 3D model but, it might be considered a good technique for the generation of virtual views; (ii) image-based modeling (e.g. photogrammetry), the widely used method for geometric surfaces of architectural objects, precise terrain and city modeling as well as Cultural Heritage documentation; (iii) range-based modeling (e.g. laser scanning), which is becoming a very common approach for the scientific community but also for non-expert users such as Cultural Heritage professionals; (iv) combination of image- and range-based modeling, as they both have advantages and disadvantages and their integration can allow the generation of complete and detailed 3D models efficiently and quickly. Moreover, 3D models of outdoors objects by means of terrestrial laser scanner (TLS) point clouds has been one of the most important and reliable technical methods. However, TLS point clouds have two main drawbacks. They don't have sufficient information about the object texture, and sometimes a complete perspective of the facades cannot be obtained due to irregular circumstances. Advances in both TLS hardware and photogrammetric solutions combined are creating increasingly more precise and rich 3D colored models. The combining of close-range photogrammetry and TLS data have been shown to be effective and accurate techniques for the 3-dimensional documentation of complex buildings and sites, which is considered, by many institutions and organizations. In this paper the 3D model generation of two historical building based on the combination of two different surveying techniques has been presented. The main goal of the work was to merge in a unique result data derived from close-range photogrammetry and from TLS in such a way that the final model could be seamlessly explored. Close range photogrammetry and Laser scan, complementary, and combine their data in most applications is increasingly common. Laser scanner while collecting 3D data, are able to produce images of texture mapping applications, but for some reason these images cannot be used. Texture images separately with good quality, at the suitable time and the appropriate conditions are provided using the principles of photogrammetry. This paper explores the projection matrix method is a comprehensive reconstruction of ancient buildings. This research is a case study on two series of real data from our ancient monuments, Abarkooh dome in Yazd province and stone bridge of Lorestan, which can be used to provide documentation verifying in national or international scale and three-dimensional modeling to be used for different purposes. In this study along with projection matrix method, other mathematical models were examined using multiple texture images for produce 3D models with true textures. The use of multiple texture images improved quality, geometry and accuracy of the results in texture mapping. The results indicated that the errors and distortions of RGB colors, is depends to the accuracy of the measurement in the space of the image and cloud points and the mathematical models. Also, check average of errors in the two transverse and longitudinal coordinates, indicating the projection matrix method was suitable in compared to other methods. In general, the projection matrix method is computationally more easily and geometrically more accurate than other models which is tested in this study. The values of errors in the projection matrix method are 0.15 and 0.33 (pixel) in the stone bridge of Lorestan and -4.24E-13 and 7.67E-14 in the Abarkooh dome in pixel units, respectively. In contrast, the errors of iterative direct linear transformation method are -2.38 and -5.79 E-10 for the first point clouds and 5.40E-5 and 3.64E-5 in pixel units for the second point clouds, respectively. Therefore, the main advantage of the projection matrix method is that it requires no initial values and it operated as matrix multiplication for producing three-dimensional models with realistic textures that is recommended as a stable method. The 3D modeling of object surface is one of the most important tasks of close-range photogrammetry when considering expanding range of different applications, considering focusing by a wide range of users and researchers. Numerous techniques for surface imaging by structured light are
currently available. The various methods of 3D modeling depend on different factors such as the cost, distance and dispersion of measurement points, the amount of surface object deformation, characteristics of the work environment, time allowed for the measurement, object type, texture and color of the object, the stationary or moving of objects. In addition, in all these methods, automate of reconstruction and the automatic matching of corresponding points are the main challenges. Among these methods, the structured light method can be considered as a method to help automate of 3D reconstruction, when does not exist possibility of installation on the target object or is not possible to determine the high-density and automatic corresponding points (due to the same texture object). In this method, to produce 3D data of the object, a light pattern with known geometrical structure are projected on the surface of the object by means of projection tool. Then, the depth of the object is calculated using the distortion of the image taken by the camera. In the structured light method, as well as other methods, the main problem is determining corresponding points automatically, which is used to solve the coded light patterns. The aim of the research is design, construction and evaluation of modeling 3D objects that have the same texture and without the need to target investment, using structured light method. To this end, the Power shot G3 digital camera and Infocus X2 projector are used to take images and to project of structured light on the surface of the object, respectively. In this research, to achieve optimal accuracy and performance of 3D reconstruction process automatically, and create a unique identifier for automatic matching of each point measurement has been used 14 binary light pattern. To implement of 3D modeling, a statue 120´50 cm dimensions were chosen with the same texture. Then, to increase the density of 3D points extracted from the surface, in addition to binary coding, the phase transition was used. The results showed that the proposed method could be implemented with an average of ±100 micron accuracy in terms of the root mean square error (RMSE), to extract 3D information of surface objects.