10 citations · 25 across the 4 of their papers we have counts for
7 papers
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…
FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery
Xian Sun, Peijin Wang, Zhiyuan Yan +11
With the rapid development of deep learning, many deep learning-based approaches have made great achievements in object detection task. It is generally known that deep learning is…
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…
Voxel-Based Indoor Reconstruction From HoloLens Triangle Meshes
P. Hübner, M. Weinmann, S. Wursthorn
Current mobile augmented reality devices are often equipped with range sensors. The Microsoft HoloLens for instance is equipped with a Time-Of-Flight (ToF) range camera providing c…
Efficient Surface-Aware Semi-Global Matching with Multi-View Plane-Sweep Sampling
Boitumelo Ruf, Thomas Pollok, Martin Weinmann
Online augmentation of an oblique aerial image sequence with structural information is an essential aspect in the process of 3D scene interpretation and analysis. One key aspect in…
Automatic Co-Registration of Aerial Imagery and Untextured Model Data Utilizing Average Shading Gradients
Sylvia Schmitz, Martin Weinmann, Boitumelo Ruf
The comparison of current image data with existing 3D model data of a scene provides an efficient method to keep models up to date. In order to transfer information between 2D and…