4 citations · 4 across the 2 of their papers we have counts for
6 papers
Semantic Neural Radiance Fields for Multi-Date Satellite Data
Valentin Wagner, Sebastian Bullinger, Christoph Bodensteiner +1
In this work we propose a satellite specific Neural Radiance Fields (NeRF) model capable to obtain a three-dimensional semantic representation (neural semantic field) of the scene.…
Statewide Visual Geolocalization in the Wild
Florian Fervers, Sebastian Bullinger, Christoph Bodensteiner +2
This work presents a method that is able to predict the geolocation of a street-view photo taken in the wild within a state-sized search region by matching against a database of ae…
3D Surface Reconstruction From Multi-Date Satellite Images
Sebastian Bullinger, Christoph Bodensteiner, Michael Arens
The reconstruction of accurate three-dimensional environment models is one of the most fundamental goals in the field of photogrammetry. Since satellite images provide suitable pro…
A Photogrammetry-based Framework to Facilitate Image-based Modeling and Automatic Camera Tracking
Sebastian Bullinger, Christoph Bodensteiner, Michael Arens
We propose a framework that extends Blender to exploit Structure from Motion (SfM) and Multi-View Stereo (MVS) techniques for image-based modeling tasks such as sculpting or camera…
Stereo 3D Object Trajectory Reconstruction
Sebastian Bullinger, Christoph Bodensteiner, Michael Arens +1
We present a method to reconstruct the three-dimensional trajectory of a moving instance of a known object category using stereo video data. We track the two-dimensional shape of o…
3D Trajectory Reconstruction of Dynamic Objects Using Planarity Constraints
Sebastian Bullinger, Christoph Bodensteiner, Michael Arens +1
We present a method to reconstruct the three-dimensional trajectory of a moving instance of a known object category in monocular video data. We track the two-dimensional shape of o…