Visual Gyroscope: Combination of Deep Learning Features and Direct Alignment for Panoramic Stabilization

Bruno Berenguel-Baeta, Antoine N. André, Guillaume Caron, Jesus Bermudez-Cameo, Josechu J. Guerrero

CVPRW 2023 pp. 6445-6448

doi:10.1109/CVPRW59228.2023.00685 /cvprw/2023/berenguelbaeta2023cvprw-visual/

Abstract

In this article we present a visual gyroscope based on equirectangular panoramas. We propose a new pipeline where we take advantage of combining three different methods to obtain a robust and accurate estimation of the attitude of the camera. We quantitatively and qualitatively validate our method on two image sequences taken with a 360◦ dual-fisheye camera mounted on different aerial vehicles.

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Text

Berenguel-Baeta et al. "Visual Gyroscope: Combination of Deep Learning Features and Direct Alignment for Panoramic Stabilization." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023. doi:10.1109/CVPRW59228.2023.00685

Markdown

[Berenguel-Baeta et al. "Visual Gyroscope: Combination of Deep Learning Features and Direct Alignment for Panoramic Stabilization." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023.](https://mlanthology.org/cvprw/2023/berenguelbaeta2023cvprw-visual/) doi:10.1109/CVPRW59228.2023.00685

BibTeX

@inproceedings{berenguelbaeta2023cvprw-visual,
  title     = {{Visual Gyroscope: Combination of Deep Learning Features and Direct Alignment for Panoramic Stabilization}},
  author    = {Berenguel-Baeta, Bruno and André, Antoine N. and Caron, Guillaume and Bermudez-Cameo, Jesus and Guerrero, Josechu J.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2023},
  pages     = {6445-6448},
  doi       = {10.1109/CVPRW59228.2023.00685},
  url       = {https://mlanthology.org/cvprw/2023/berenguelbaeta2023cvprw-visual/}
}