4 citations · 10 across the 6 of their papers we have counts for
6 papers
EntON: Eigenentropy-Optimized Neighborhood Densification in 3D Gaussian Splatting
Miriam Jäger, Boris Jutzi
We present a novel Eigenentropy-optimized neighboorhood densification strategy EntON in 3D Gaussian Splatting (3DGS) for geometrically accurate and high-quality rendered 3D reconst…
HoloGS: Instant Depth-based 3D Gaussian Splatting with Microsoft HoloLens 2
Miriam Jäger, Theodor Kapler, Michael Feßenbecker +3
In the fields of photogrammetry, computer vision and computer graphics, the task of neural 3D scene reconstruction has led to the exploration of various techniques. Among these, 3D…
Density Uncertainty Quantification with NeRF-Ensembles: Impact of Data and Scene Constraints
Miriam Jäger, Steven Landgraf, Boris Jutzi
In the fields of computer graphics, computer vision and photogrammetry, Neural Radiance Fields (NeRFs) are a major topic driving current research and development. However, the qual…
3D Density-Gradient based Edge Detection on Neural Radiance Fields (NeRFs) for Geometric Reconstruction
Miriam Jäger, Boris Jutzi
Generating geometric 3D reconstructions from Neural Radiance Fields (NeRFs) is of great interest. However, accurate and complete reconstructions based on the density values are cha…
Combining HoloLens with Instant-NeRFs: Advanced Real-Time 3D Mobile Mapping
Dennis Haitz, Boris Jutzi, Markus Ulrich +2
This work represents a large step into modern ways of fast 3D reconstruction based on RGB camera images. Utilizing a Microsoft HoloLens 2 as a multisensor platform that includes an…
A Comparative Neural Radiance Field (NeRF) 3D Analysis of Camera Poses from HoloLens Trajectories and Structure from Motion
Miriam Jäger, Patrick Hübner, Dennis Haitz +1
Neural Radiance Fields (NeRFs) are trained using a set of camera poses and associated images as input to estimate density and color values for each position. The position-dependent…