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Developing structure-from-motion models from applied streetview and UAV images

It is common that after a disaster, teams are sent to collect data of damaged buildings. The images collected are often taken using a manual handheld camera and a drone. This data collection process is extremely manual and slow. It can even put the photo collectors in hazardous conditions. To address this, a drivable, omnidirectional camera can produce images that could potentially be combined with drone images to create a functioning three-dimensional model with drastically reduced data collection times. This paper aims to discuss the methods and applications of Applied Streetview images in Pix4D modeling software. The Applied Streetview images went through varied processing stages which resulted in models being combined with UAV data. The result of the merged data sets were then visually compared for aesthetic and accuracy purposes. The research is using images collected from areas around the University of Washington's campus.