ML Anthology

Photometric Visual Gyroscope for Full-View Spherical Camera

Antoine N. André, Guillaume Caron
CVPRW 2022 pp. 5228-5231
doi:10.1109/CVPRW56347.2022.00571 /cvprw/2022/andre2022cvprw-photometric/

Abstract

This article presents a visual gyroscope based on the spherical representation of dual-fisheye cameras. By using the fully available view of the scene thanks to a dual-fisheye camera and projecting the photometric information on a sphere, a highly precise orientation estimation along with a great convergence domain can be achieved. This method is validated with the help of images taken from the PanoraMIS dataset to evaluate quantitatively the performances.

PDF CVPRW Semantic Scholar

Cite

Text

André and Caron. "Photometric Visual Gyroscope for Full-View Spherical Camera." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022. doi:10.1109/CVPRW56347.2022.00571

Markdown

[André and Caron. "Photometric Visual Gyroscope for Full-View Spherical Camera." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022.](https://mlanthology.org/cvprw/2022/andre2022cvprw-photometric/) doi:10.1109/CVPRW56347.2022.00571

BibTeX

@inproceedings{andre2022cvprw-photometric,
  title     = {{Photometric Visual Gyroscope for Full-View Spherical Camera}},
  author    = {André, Antoine N. and Caron, Guillaume},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2022},
  pages     = {5228-5231},
  doi       = {10.1109/CVPRW56347.2022.00571},
  url       = {https://mlanthology.org/cvprw/2022/andre2022cvprw-photometric/}
}