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When does a camera see rain?
Abstract
Rain produces sharp intensity fluctuations in images and videos, which degrade the performance of outdoor vision systems. These intensity fluctuations depend on various factors, such as the camera parameters, the properties of rain, and the brightness of the scene. We show that the properties of rain - its small drop size, high velocity, and low density - make its visibility strongly dependent on camera parameters such as exposure time and depth of field. We show that these parameters can be selected so as to reduce or even remove the effects of rain without altering the appearance of the scene. Conversely, the parameters of a camera can also be set to enhance the visual effects of rain. This can be used to develop an inexpensive and portable camera-based rain gauge that provides instantaneous rain rate measurements. The proposed methods serve to make vision algorithms more robust to rain without any necessity for post-processing. In addition, they can be used to control the visual effects of rain during the filming of movies
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Cited by
Zang, S., Ding, M., Smith, D., Tyler, P., Rakotoarivelo, T., & Kaafar, M. A. (2019) · IEEE Vehicular Technology Magazine · doi:10.1109/mvt.2019.2892497 · Cited by 457
A Generalized Low-Rank Appearance Model for Spatio-temporally Correlated Rain Streaks
Chen, Y.-L., & Hsu, C.-T. (2013) · 2013 IEEE International Conference on Computer Vision · doi:10.1109/iccv.2013.247 · Cited by 458
Xiao, J., Fu, X., Liu, A., Wu, F., & Zha, Z.-J. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3183612 · Cited by 389
Analysis of Rain and Snow in Frequency Space
Barnum, P. C., Narasimhan, S., & Kanade, T. (2010) · International Journal of Computer Vision · doi:10.1007/s11263-008-0200-2 · Cited by 356
Joint Bi-layer Optimization for Single-Image Rain Streak Removal
Zhu, L., Fu, C.-W., Lischinski, D., & Heng, P.-A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.276 · Cited by 334
Metadata
- Authors
- Garg, K., & Nayar, S. K.
- Venue
- Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1
- Publisher
- IEEE
- Published
- 2005
- Pages
- 1067-1074 Vol. 2
- OpenAlex
- W2163146621
- Cited by
- 225
- References
- 0
- FWCI
- 2.34
- Type
- conference paper
- Language
- en
- Open access
- closed
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