2 citations · 2 across the 9 of their papers we have counts for
6 papers · 2 filters
YCB-LUMA: YCB Object Dataset with Luminance Keying for Object Localization
Thomas Pöllabauer
Localizing target objects in images is an important task in computer vision. Often it is the first step towards solving a variety of applications in autonomous driving, maintenance…
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…
Extending 6D Object Pose Estimators for Stereo Vision
Thomas Pöllabauer, Jan Emrich, Volker Knauthe +1
Estimating the 6D pose of objects accurately, quickly, and robustly remains a difficult task. However, recent methods for directly regressing poses from RGB images using dense feat…