ICRA 2012 Paper Abstract


Paper WeD09.18

Maurer, Michael (Graz University of Technology), Rumpler, Markus (Graz University of Technology), Wendel, Andreas (Graz University of Technology), Hoppe, Christof (Graz University of Technology), Irschara, Arnold (Graz University of Technology), Bischof, Horst (Graz University of Technology)

Geo–Referenced 3D Reconstruction: Fusing Public Geographic Data and Aerial Imagery

Scheduled for presentation during the Video Session "Video Session" (WeD09), Wednesday, May 16, 2012, 17:55−18:00, Meeting Room 9 (Sa)

2012 IEEE International Conference on Robotics and Automation, May 14-18, 2012, RiverCentre, Saint Paul, Minnesota, USA

This information is tentative and subject to change. Compiled on December 17, 2017

Keywords Computer Vision for Robotics and Automation, Aerial Robotics, Localization


Abstract—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 multiview 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.



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