2 citations · 2 across the 4 of their papers we have counts for
5 papers · 1 filter
FAST GDRNPP: Improving the Speed of State-of-the-Art 6D Object Pose Estimation
Thomas Pöllabauer, Ashwin Pramod, Volker Knauthe +1
6D object pose estimation involves determining the three-dimensional translation and rotation of an object within a scene and relative to a chosen coordinate system. This problem i…
End-to-End Probabilistic Geometry-Guided Regression for 6DoF Object Pose Estimation
Thomas Pöllabauer, Jiayin Li, Volker Knauthe +2
6D object pose estimation is the problem of identifying the position and orientation of an object relative to a chosen coordinate system, which is a core technology for modern XR a…
One-to-many Reconstruction of 3D Geometry of cultural Artifacts using a synthetically trained Generative Model
Thomas Pöllabauer, Julius Kühn, Jiayi Li +1
Estimating the 3D shape of an object using a single image is a difficult problem. Modern approaches achieve good results for general objects, based on real photographs, but worse r…
A Concept for Reconstructing Stucco Statues from historic Sketches using synthetic Data only
Thomas Pöllabauer, Julius Kühn
In medieval times, stuccoworkers used a red color, called sinopia, to first create a sketch of the to-be-made statue on the wall. Today, many of these statues are destroyed, but us…
Detection and Pose Estimation of flat, Texture-less Industry Objects on HoloLens using synthetic Training
Thomas Pöllabauer, Fabian Rücker, Andreas Franek +1
Current state-of-the-art 6d pose estimation is too compute intensive to be deployed on edge devices, such as Microsoft HoloLens (2) or Apple iPad, both used for an increasing numbe…