no code implementations • 22 Mar 2018 • Christian Mostegel, Friedrich Fraundorfer, Horst Bischof
In the second step, we rank the resulting view clusters (i. e. key views with matching partners) according to their impact on the fulfillment of desired quality parameters such as completeness, ground resolution and accuracy.
no code implementations • CVPR 2017 • Christian Mostegel, Rudolf Prettenthaler, Friedrich Fraundorfer, Horst Bischof
In this paper we present a scalable approach for robustly computing a 3D surface mesh from multi-scale multi-view stereo point clouds that can handle extreme jumps of point density (in our experiments three orders of magnitude).
no code implementations • 6 May 2016 • Christian Mostegel, Markus Rumpler, Friedrich Fraundorfer, Horst Bischof
In this paper we present an autonomous system for acquiring close-range high-resolution images that maximize the quality of a later-on 3D reconstruction with respect to coverage, ground resolution and 3D uncertainty.
no code implementations • CVPR 2016 • Christian Mostegel, Markus Rumpler, Friedrich Fraundorfer, Horst Bischof
Learned confidence measures gain increasing importance for outlier removal and quality improvement in stereo vision.