The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The Development and Comparison of Robust Methods for Estimating the Fundamental Matrix
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Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
Golub, G. (2012) · doi:10.56021/9781421407944 · Cited by 34,505
Fischler, M. A., & Bolles, R. C. (1981) · Communications of the ACM · doi:10.1145/358669.358692 · Cited by 25,893
Huber, P. J. (1981) · Wiley Series in Probability and Statistics · doi:10.1002/0471725250 · Cited by 7,066
Robust Regression and Outlier Detection
Rousseeuw, P. J., & Leroy, A. M. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/0471725382 · Cited by 5,609
Fitting conic sections to "very scattered" data: An iterative refinement of the bookstein algorithm
Sampson, P. D. (1982) · Computer Graphics and Image Processing · doi:10.1016/0146-664x(82)90101-0 · Cited by 358 · cited 6×
“These require a working knowledge of the solution, and so an iteratively re-weighted least squares minimization is required (Bookstein 1979; Sampson 1982).”
BackgroundMethodInfluential
Cited by
An efficient solution to the five-point relative pose problem
Nister, D. (2004) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2004.17 · Cited by 2,009
Visual Odometry : Part II: Matching, Robustness, Optimization, and Applications
Fraundorfer, F., & Scaramuzza, D. (2012) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2012.2182810 · Cited by 620
Performance Evaluation of RANSAC Family
Choi, S., Kim, T., & Yu, W. (2009) · Procedings of the British Machine Vision Conference 2009 · doi:10.5244/c.23.81 · Cited by 414
The dual-bootstrap iterative closest point algorithm with application to retinal image registration
Stewart, C. V., Tsai, C.-L., & Roysam, B. (2003) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2003.819276 · Cited by 346
Geometric motion segmentation and model selection
Torr, P. H. S. (1998) · Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.1998.0224 · Cited by 307
Self-citation
Metadata
- Authors
- Torr, P. H. S., & Murray, D. W.
- Venue
- International Journal of Computer Vision
- Published
- 1997-09
- Volume
- 24
- Issue
- 3
- Pages
- 271-300
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W1575387439
- Cited by
- 755
- References
- 6
- FWCI
- 20.39
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Development and Comparison of Robust Methods for Estimating the Fundamental Matrix. https://app.cochat.ai/papers/10.1023/a:1007927408552
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- Torr, P. H. S., & Murray, D. W. (1997). The Development and Comparison of Robust Methods for Estimating the Fundamental Matrix. International Journal of Computer Vision. https://doi.org/10.1023/a%3A1007927408552
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.
