Realistic Modeling of Water Droplets for Monocular Adherent Raindrop Recognition Using Bézier Curves
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Practical usage of the Bézier curve method in a real-time image-based application is limited by the accuracy of estimating raindrop volume, which is related to raindrop diameter; this relation is not linear and, when inclination angle is considered, is not even monotonic.
“Despite excellent representation of raindrop shape using this method, practical usage in a real-time image-based application is limited by the accuracy of estimating raindrop volume, which is related to raindrop diameter. This relation is not linear and, when the inclination angle is considered, is not even monotonic.”
From A Review of Detection and Removal of Raindrops in Automotive Vision Systems (2021) · cites this paper as [24]
Roser et al.'s experimental results showed that it was possible to estimate Bézier curve parameters and model raindrops accurately just by knowing the raindrop diameter and the inclination angle of the plate (windshield).
“Experimental results showed that it was possible to estimate Bézier curve parameters and model raindrops accurately, just by knowing the raindrop diameter (could be estimated from the SURF algorithm) and the inclination angle of the plate (windshield).”
From A Review of Detection and Removal of Raindrops in Automotive Vision Systems (2021) · cites this paper as [24]
The accuracy of the Bézier curve-based raindrop model was compared to the state of the art (two-dimensional cut of sphere section), and reductions of up to three orders of magnitude were observed in the Bézier curve-based algorithm as compared to the spherical model.
“The accuracy of the proposed raindrop model was compared to the state of the art, represented in a two-dimensional cut of sphere section, and reductions of up to three orders of magnitude were observed in the Bézier curve-based algorithm as compared to the spherical model.”
From A Review of Detection and Removal of Raindrops in Automotive Vision Systems (2021) · cites this paper as [24]
Cites
SURF: Speeded Up Robust Features
Bay, H., Tuytelaars, T., & Van Gool, L. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_32 · Cited by 14,955 · cited 4× · see citing works
“It can be achieved densely as wells as from preselected points of interest, like CenSurE [1] or SURF [2].”
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Attentive Generative Adversarial Network for Raindrop Removal from A Single Image
Qian, R., Tan, R. T., Yang, W., Su, J., & Liu, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00263 · Cited by 821 · see citing works
Learning From Synthetic Photorealistic Raindrop for Single Image Raindrop Removal
Hao, Z., You, S., Li, Y., Li, K., & Lu, F. (2019) · 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) · doi:10.1109/iccvw.2019.00534 · Cited by 54 · see citing works
A Review of Detection and Removal of Raindrops in Automotive Vision Systems
Hamzeh, Y., & Rawashdeh, S. A. (2021) · Journal of Imaging · doi:10.3390/jimaging7030052 · Cited by 21 · see citing works
“[24], proposed a model for adherent raindrops, using Bézier Curves.”
MethodInfluentialA novel technique for raindrop detection on a car windshield using geometric-photometric model
Sugimoto, M., Kakiuchi, N., Ozaki, N., & Sugawara, R. (2012) · 2012 15th International IEEE Conference on Intelligent Transportation Systems · doi:10.1109/itsc.2012.6338613 · Cited by 6 · see citing works
- Authors
- Roser, M., Kurz, J., & Geiger, A.
- Affiliations
- Karlsruhe Institute of Technology (DE)
- ORCID
- Geiger, Andreas
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2011
- Pages
- 235-244
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1585341626
- Cited by
- 63
- References
- 1
- Citations by year
- 2025: 4 · 2024: 9 · 2023: 5 · 2022: 6 · 2021: 9 · 2020: 11 · 2019: 4 · 2018: 2 · 2017: 3 · 2016: 3 · 2015: 3 · 2014: 1 · 2013: 1 · 2012: 2
- FWCI
- 0.94
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Enhancement Techniques
- Keywords
- cubic Bézier curves, inclined surfaces, monocular vision, geometrical optics, contact angle
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