66 citations · 138 across the 8 of their papers we have counts for
9 papers
FaSS-MVS -- Fast Multi-View Stereo with Surface-Aware Semi-Global Matching from UAV-borne Monocular Imagery
Boitumelo Ruf, Martin Weinmann, Stefan Hinz
With FaSS-MVS, we present an approach for fast multi-view stereo with surface-aware Semi-Global Matching that allows for rapid depth and normal map estimation from monocular aerial…
Pose Normalization of Indoor Mapping Datasets Partially Compliant to the Manhattan World Assumption
Patrick Hübner, Martin Weinmann, Sven Wursthorn +1
In this paper, we present a novel pose normalization method for indoor mapping point clouds and triangle meshes that is robust against large fractions of the indoor mapping geometr…
ReS2tAC -- UAV-Borne Real-Time SGM Stereo Optimized for Embedded ARM and CUDA Devices
Boitumelo Ruf, Jonas Mohrs, Martin Weinmann +2
With the emergence of low-cost robotic systems, such as unmanned aerial vehicle, the importance of embedded high-performance image processing has increased. For a long time, FPGAs…
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…
Developing a machine learning framework for estimating soil moisture with VNIR hyperspectral data
Sina Keller, Felix M. Riese, Johanna Stötzer +2
In this paper, we investigate the potential of estimating the soil-moisture content based on VNIR hyperspectral data combined with LWIR data. Measurements from a multi-sensor field…
mdBrief - A Fast Online Adaptable, Distorted Binary Descriptor for Real-Time Applications Using Calibrated Wide-Angle Or Fisheye Cameras
Steffen Urban, Stefan Hinz
Fast binary descriptors build the core for many vision based applications with real-time demands like object detection, Visual Odometry or SLAM. Commonly it is assumed, that the ac…
MultiCol-SLAM - A Modular Real-Time Multi-Camera SLAM System
Steffen Urban, Stefan Hinz
The basis for most vision based applications like robotics, self-driving cars and potentially augmented and virtual reality is a robust, continuous estimation of the position and o…
MLPnP - A Real-Time Maximum Likelihood Solution to the Perspective-n-Point Problem
Steffen Urban, Jens Leitloff, Stefan Hinz
In this paper, a statistically optimal solution to the Perspective-n-Point (PnP) problem is presented. Many solutions to the PnP problem are geometrically optimal, but do not consi…