EVALUATING LASERS VS PHOTOGRAPHS FOR CREATING 3D MODELS

It is generally assumed that lasers produce the most precise and accurate three dimensional models. However, Professor Lattanzi and PhD Candidate Khallo of George Mason have developed the Hierarchical Point Cloud Generation process (HPCG) using two dimensional digital images and a Structure from Motion algorithm that provides evidence that this assumption to be false. Data collection via two dimensional images is considered easier, cheaper and less time consuming than lasers. Using a medium sized concrete dam, reservoir and river, the HPCG process is compared to traditional methods using commercial photogrammetric software and two dimensional images. The data was collected with both fixed wing and multi rotor Unmanned Aerial Vehicles (UAVs). Additionally, a terrestrial based laser system was also used in the same location. This research has the potential to provide significant impact to data collection and model generation for the fields of earth ocean, planetary and life sciences.