10 citations · 10 across the 3 of their papers we have counts for
3 papers · 1 filter
IVS3D: An Open Source Framework for Intelligent Video Sampling and Preprocessing to Facilitate 3D Reconstruction
Max Hermann, Thomas Pollok, Daniel Brommer +1
The creation of detailed 3D models is relevant for a wide range of applications such as navigation in three-dimensional space, construction planning or disaster assessment. However…
Real-time dense 3D Reconstruction from monocular video data captured by low-cost UAVs
Max Hermann, Boitumelo Ruf, Martin Weinmann
Real-time 3D reconstruction enables fast dense mapping of the environment which benefits numerous applications, such as navigation or live evaluation of an emergency. In contrast t…
Self-Supervised Learning for Monocular Depth Estimation from Aerial Imagery
Max Hermann, Boitumelo Ruf, Martin Weinmann +1
Supervised learning based methods for monocular depth estimation usually require large amounts of extensively annotated training data. In the case of aerial imagery, this ground tr…