The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus
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Citations
Cites
Fischler, M. A., & Bolles, R. C. (1981) · Communications of the ACM · doi:10.1145/358669.358692 · Cited by 25,893
Randomized RANSAC with T, test
Matas, J., & Chum, O. (2004) · Image and Vision Computing · doi:10.1016/j.imavis.2004.02.009 · Cited by 281
Cited by
Visual simultaneous localization and mapping: a survey
Fuentes-Pacheco, J., Ruiz-Ascencio, J., & Rendón-Mancha, J. M. (2015) · Artificial Intelligence Review · doi:10.1007/s10462-012-9365-8 · Cited by 883
USAC: A Universal Framework for Random Sample Consensus
Raguram, R., Chum, O., Pollefeys, M., Matas, J., & Frahm, J.-M. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.257 · Cited by 676
Self-citationDSAC — Differentiable RANSAC for Camera Localization
Brachmann, E., Krull, A., Nowozin, S., Shotton, J., Michel, F., Gumhold, S., & Rother, C. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.267 · Cited by 607
GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence
Bian, J., Lin, W.-Y., Matsushita, Y., Yeung, S.-K., Nguyen, T.-D., & Cheng, M.-M. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.302 · Cited by 594
Robust Point Matching via Vector Field Consensus
Ma, J., Zhao, J., Tian, J., Yuille, A. L., & Tu, Z. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2307478 · Cited by 566
Metadata
- Authors
- Raguram, R., Frahm, J.-M., & Pollefeys, M.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2008
- Pages
- 500-513
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2168104347
- Cited by
- 505
- References
- 2
- FWCI
- 14.42
- Type
- conference paper
- Language
- en
- Open access
- closed
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- The paper
- Raguram, R., Frahm, J.-M., & Pollefeys, M. (2008). A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-88688-4_37
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.