“…Indeed, with the arrival of digital cameras, the field of CV individuated algorithms that permit automatic orientation of pairs, triads, or sequences of images, developing the already known technique of "structure from motion" (SFM) (Ullman, 1979) which, integrated with the algorithms of dense image matching, allows for the production of three-dimensional models of the object surveyed in a short time (Barrile et al, 2015;Fonstad, Dietrich, Courville, Jensen, & Carbonneau, 2013). Recently, in addition, many have asked about the limits and potential of the techniques of image-based modeling (Caroti, Martinez-Espejo Zaragoza, & Piemonte, 2015;Di Paola, Inzerillo, & Santagati, 2013), many have compared and integrated SFM technique with spherical photogrammetry (D'Annibale, 2011) and other authors have investigated by comparing the results obtained with the Light Detection and Ranging (LIDAR) technique (Nex & Rinaudo, 2011) or with terrestrial laser scanning (Kersten & Lindstaedt, 2012;Skarlatos & Kiparissi, 2012;Teza, Pesci, & Ninfo, 2016;Tucci, Bonora, Conti, & Fiorini, 2015;Zhang, Schneider, & Straub, 2016); still others have arrived at the conclusion that the integration of terrestrial photogrammetry and UAV (Pueschel, Sauerbier, & Eisenbeiss, 2008), or photogrammetry and LIDAR (Franceschi, Martinelli, Gislimberti, Rizzi, & Massironi, 2015) can be a good solution in the case of a survey of complex structures. Currently research on the applicability of SFM is fervent; in literature many types of applications is reported, ranging form environmental applications to safety applications, only to cite some (Javernick, Brasington, & Caruso, 2014;Javernick, Hicks, Measures, Caruso, & Brasington, 2015;Johnson et al, 2014;Marteau, Vericat, Gibbins, Batalla, & Green, 2017; Ryan et al, 2015;Westoby, Brasington, Glasser, Hambrey, & Reynolds, 2012).…”