||Maurer Michael, Rumpler Markus, Wendel Andreas, Hoppe Christof, Irschara Arnold , Bischof Horst
||Proceedings of the International Conference on Robotics and Automation (ICRA), St. Paul, Minnesota (USA)
||We present an image–based 3D reconstruction pipeline for acquiring geo–referenced semi–dense 3D models. Multiple overlapping images captured from a micro aerial vehicle platform provide a highly redundant source for multi-view reconstructions. Publicly available geo–spatial information sources are used to obtain an approximation to a digital surface model (DSM). Models obtained by the semi–dense reconstruction are automatically aligned to the DSM to allow the integration of highly detailed models into the original DSM and to provide geographic context.