In recent years, Structure from Motion (SfM) computer vision techniques have been successfully employed on multi-view UAV imagery for the generation of high resolution digital surface models (DSM) and orthophotos. The SfM technique can be applied to large collections of overlapping photographs to obtain sparse point clouds for a wide range of objects, such as buildings and sculptures.The power of this technique was demonstrated by Snavely et al.(2007) who developed the Bundler software and used it to construct 3D models of well-known world sites, such as Notre Dame, based onhundreds of overlapping photographs available from community websites. The SfM technique is based on identifying matching features in images taken from different viewpoints. Image features are identified by the scale invariant feature transform (SIFT) algorithm(Lowe, 2004), which is robust in terms of its feature descriptors for image features at different viewing angles.