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Video-Based Raindrop Detection for Improved Image Registration

Martin Roser, Andreas Geiger
ICCVW 2009 pp. 570-577
doi:10.1109/ICCVW.2009.5457650 /iccvw/2009/roser2009iccvw-videobased/

Abstract

In this paper we present a novel approach to improved image registration in rainy weather situations. To this end, we perform monocular raindrop detection in single images based on a photometric raindrop model. Our method is capable of detecting raindrops precisely, even in front of complex backgrounds. The effectiveness is demonstrated by a significant increase in image registration accuracy which also allows for successful image restoration. Experiments on video sequences taken from within a moving vehicle prove the applicability to real-world scenarios.

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Text

Roser and Geiger. "Video-Based Raindrop Detection for Improved Image Registration." IEEE/CVF International Conference on Computer Vision Workshops, 2009. doi:10.1109/ICCVW.2009.5457650

Markdown

[Roser and Geiger. "Video-Based Raindrop Detection for Improved Image Registration." IEEE/CVF International Conference on Computer Vision Workshops, 2009.](https://mlanthology.org/iccvw/2009/roser2009iccvw-videobased/) doi:10.1109/ICCVW.2009.5457650

BibTeX

@inproceedings{roser2009iccvw-videobased,
  title     = {{Video-Based Raindrop Detection for Improved Image Registration}},
  author    = {Roser, Martin and Geiger, Andreas},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2009},
  pages     = {570-577},
  doi       = {10.1109/ICCVW.2009.5457650},
  url       = {https://mlanthology.org/iccvw/2009/roser2009iccvw-videobased/}
}