Structure from Motion (SfM) is the task of building a 3D reconstruction of the surrounding space, extracting information from 2D images. Visual Place Recognition (VPR), on the other hand, is the task of recognising and matching images depicting the same place, possibly from different points of view. A crucial step in SfM pipelines, allowing both to increase efficiency and boost performance, is matching similar images with VPR algorithms before the reconstruction is initialised. This thesis aims at investigating the role of VPR in the process of building a 3D reconstruction, pointing out the features that a place recognition method should have to work fine in this task.