||Hoppe Christof, Wendel Andreas, Zollmann Stefanie, Pirker Katrin, Irschara Arnold , Bischof Horst, Kluckner Stefan
||In Proc. Computer Vison Winterworkshop, Mala Nedelja, Slovenia, 2012
||Micro Aerial Vehicles (MAVs) equipped with high resolution cameras have the ability of cost efficient and autonomous image acquisition from unconventional viewpoints. To fully exploit the limited flight-time of current MAVs view planning is essential for complete and precise 3D scene sampling. We propose a novel camera network design algorithm suitable for MAVs for close range photogrammetry that exploits prior knowledge of the surrounding. Our algorithm automatically determines a set of camera positions that guarantees important constraints for image based 3D reconstruction. On synthetic experiments we demonstrate that our camera network design obtains detailed 3D reconstructions with a reduced number of images at the desired accuracy level. Comparable results are also computed on an outdoor experiment using our MAV in autonomous flight mode.