Search Results for author: Pavel Rojtberg

Found 6 papers, 3 papers with code

YCB-Ev: Event-vision dataset for 6DoF object pose estimation

1 code implementation15 Sep 2023 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 modalities.

Object Pose Estimation

Transferring dense object detection models to event-based data

no code implementations5 Oct 2022 Vincenz Mechler, Pavel Rojtberg

Event-based image representations are fundamentally different to traditional dense images.

Dense Object Detection Object +1

Style-transfer GANs for bridging the domain gap in synthetic pose estimator training

no code implementations28 Apr 2020 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 of labeled training data.

Style Transfer Translation

Real-time texturing for 6D object instance detection from RGB Images

no code implementations13 Dec 2019 Pavel Rojtberg, Arjan Kuijper

For objected detection, the availability of color cues strongly influences detection rates and is even a prerequisite for many methods.

Efficient Pose Selection for Interactive Camera Calibration

1 code implementation9 Jul 2019 Pavel Rojtberg, Arjan Kuijper

This work presents a pose selection method that finds a compact and robust set of calibration poses and is suitable for interactive calibration.

Camera Calibration

calibDB: enabling web based computer vision through on-the-fly camera calibration

1 code implementation9 Jul 2019 Pavel Rojtberg, Felix Gorschlüter

For many computer vision applications, the availability of camera calibration data is crucial as overall quality heavily depends on it.

Camera Calibration

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