https://github.com/tub-rip/visual_stabilization

On the Benefits of Visual Stabilization for Frame- and Event-based Perception
https://github.com/tub-rip/visual_stabilization

camera stabilization

Last synced: 7 months ago
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On the Benefits of Visual Stabilization for Frame- and Event-based Perception

• Host: GitHub
• URL: https://github.com/tub-rip/visual_stabilization
• Owner: tub-rip
• License: gpl-3.0
• Created: 2024-08-09T16:18:08.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-08-29T22:09:33.000Z (over 1 year ago)
• Last Synced: 2024-08-30T00:08:24.987Z (over 1 year ago)
• Topics: camera, stabilization
• Language: C++
• Homepage:
• Size: 9.53 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• event-vision-index - Visual Stabilization (RAL 2024) - rip/visual_stabilization?style=social"/> (Visual Odometry and SLAM / Arbitrary motion (6-DOF))

README

          
# On the Benefits of Visual Stabilization for Frame- and Event-based Perception

[![On the Benefits of Visual Stabilization for Frame- and Event-based Perception](docs/media/video_preview.png)](https://youtu.be/LAOztE-8FfY)

This is the code for the journal paper [**On the Benefits of Visual Stabilization for Frame- and Event-based Perception**](https://doi.org/10.1109/lra.2024.3450290), by [Juan Pablo Rodríguez-Gómez](https://sites.google.com/view/juanpablorodriguezgomez), [José Ramiro Martínez-de Dios](https://grvc.us.es/jramiromartinezdedios/), [Aníbal Ollero](https://grvc.us.es/newweb/head-of-the-laboratory/), and [Guillermo Gallego](https://sites.google.com/view/guillermogallego), published at IEEE Robotics and Automation Letters.

The [PDF of the paper is available](https://arxiv.org/pdf/2408.15602). If you use this work in your research, please cite it as follows:

```bibtex

@article{Rodriguez24ral,

  author = {Rodríguez-Gómez, J.P. and Dios, J.R. Martínez-de and Ollero, A. and Gallego, G.},  

  title = {On the Benefits of Visual Stabilization for Frame- and Event-based Perception},

  journal = {IEEE Robotics and Automation Letters},

  year = {2024},

  volume={},

  number={},

  pages={1-8},

  doi = {10.1109/LRA.2024.3450290}

}

```

### Input

* Events or frames from a single camera

* Camera orientation from an external source (e.g., motion capture system, IMU, VO)

* Instrinsic camera calibration parameters

### Output

* Stabilized events or frames

* Visualization of stabilized data

* Output dataset in rosbag format

## Code

* [Installation instructions](docs/installation.md)

* [Code](docs/code.md)