Remote sensing technology such as LiDAR and image matching algorithms are used for a periodical acquisition of our physical world. Countries, cities, sites, and assets are captured every year, every day, every hour, and every minute. The resulting 3D point clouds are a digital snapshot of the reality and allow to derive information and insights. In this talk, we present techniques to manage, process, and analyze large-scale 3D point clouds. These techniques are relevant for a variety of applications to get new insights, detect changes, and establish workflows for updating and maintaining of existing geo data (e.g., 3D city models, terrain models, tree cadastre).
Rico Richter is a research scientist with the computer graphics systems group of the Hasso Plattner Institute at the University of Potsdam, Germany. He has many years of experience in the development of complex processing, analysis, and visualization techniques for massive point clouds. His main focus are research and industrial IT solutions for the management and application of large-scale, highly detailed point clouds.