20 citations · 27 across the 7 of their papers we have counts for
7 papers · 1 filter
YCB-Ev SD: Synthetic event-vision dataset for 6DoF object pose estimation
Pavel Rojtberg, Julius Kühn
We introduce YCB-Ev SD, a synthetic dataset of event-camera data at standard definition (SD) resolution for 6DoF object pose estimation. While synthetic data has become fundamental…
YCB-Ev 1.1: Event-vision dataset for 6DoF object pose estimation
Pavel Rojtberg, Thomas Pöllabauer
Our work introduces the YCB-Ev dataset, which contains synchronized RGB-D frames and event data that enables evaluating 6DoF object pose estimation algorithms using these modalitie…
Transferring dense object detection models to event-based data
Vincenz Mechler, Pavel Rojtberg
Event-based image representations are fundamentally different to traditional dense images. This poses a challenge to apply current state-of-the-art models for object detection as t…
Style-transfer GANs for bridging the domain gap in synthetic pose estimator training
Pavel Rojtberg, Thomas Pöllabauer, Arjan Kuijper
Given the dependency of current CNN architectures on a large training set, the possibility of using synthetic data is alluring as it allows generating a virtually infinite amount o…
Real-time texturing for 6D object instance detection from RGB Images
Pavel Rojtberg, Arjan Kuijper
For objected detection, the availability of color cues strongly influences detection rates and is even a prerequisite for many methods. However, when training on synthetic CAD data…
calibDB: enabling web based computer vision through on-the-fly camera calibration
Pavel Rojtberg, Felix Gorschlüter
For many computer vision applications, the availability of camera calibration data is crucial as overall quality heavily depends on it. While calibration data is available on some…
Efficient Pose Selection for Interactive Camera Calibration
Pavel Rojtberg, Arjan Kuijper
The choice of poses for camera calibration with planar patterns is only rarely considered - yet the calibration precision heavily depends on it. This work presents a pose selection…