The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
LSD: a Line Segment Detector
Open accessAbstract
LSD is a linear-time Line Segment Detector giving subpixel accurate results. It is designed to work on any digital image without parameter tuning. It controls its own number of false detections: On average, one false alarm is allowed per image. The method is based on Burns, Hanson, and Riseman's method, and uses an a-contrario validation approach according to Desolneux, Moisan, and Morel's theory. The version described here includes some further improvement over the one described in the original article.
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Citations
Cites
A Computational Approach to Edge Detection
Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767851 · Cited by 30,004
Cited by
PL-SLAM: Real-time monocular visual SLAM with points and lines
Pumarola, A., Vakhitov, A., Agudo, A., Sanfeliu, A., & Moreno-Noguer, F. (2017) · 2017 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2017.7989522 · Cited by 482
StructSLAM: Visual SLAM With Building Structure Lines
Zhou, H., Zou, D., Pei, L., Ying, R., Liu, P., & Yu, W. (2015) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2015.2388780 · Cited by 280
Metadata
- Authors
- Grompone von Gioi, R., Jakubowicz, J., Morel, J.-M., & Randall, G.
- Venue
- Image Processing On Line
- Publisher
- Image Processing On Line
- Published
- 2012-03-24
- Volume
- 2
- Pages
- 35-55
- ISSN
- 2105-1232 (ISSN-L)
- OpenAlex
- W2156953558
- Cited by
- 841
- References
- 1
- FWCI
- 36.06
- Type
- journal article
- Language
- en
- Open access
- diamond
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