The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
MLESAC: A New Robust Estimator with Application to Estimating Image Geometry
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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
Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003) · doi:10.1201/9780429258480 · Cited by 27,276
Fischler, M. A., & Bolles, R. C. (1981) · Communications of the ACM · doi:10.1145/358669.358692 · Cited by 25,893
A Combined Corner and Edge Detector
Harris, C., & Stephens, M. (1988) · Procedings of the Alvey Vision Conference 1988 · doi:10.5244/c.2.23 · Cited by 12,901
Huber, P. J. (1985) · The Annals of Statistics · doi:10.1214/aos/1176349519 · Cited by 1,277
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 1×
“Given a set of correspondences the (unbiased) minimum variance solution for F is that which minimizes the sum of squares of distances orthogonal to the variety from each point (x, y, x ′, y′) inR4 [12, 14, 15, 21, 23, 26, 35].”
Background
Cited by
Efficient RANSAC for Point‐Cloud Shape Detection
Schnabel, R., Wahl, R., & Klein, R. (2007) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2007.01016.x · Cited by 2,106
RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments
Henry, P., Krainin, M., Herbst, E., Ren, X., & Fox, D. (2012) · The International Journal of Robotics Research · doi:10.1177/0278364911434148 · Cited by 1,161
Towards 3D Point cloud based object maps for household environments
Rusu, R. B., Marton, Z. C., Blodow, N., Dolha, M., & Beetz, M. (2008) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2008.08.005 · Cited by 1,084
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
Ma, J., Zhao, J., Jiang, J., Zhou, H., & Guo, X. (2019) · International Journal of Computer Vision · doi:10.1007/s11263-018-1117-z · Cited by 601
Metadata
- Authors
- Torr, P. H. S., & Zisserman, A.
- Venue
- Computer Vision and Image Understanding
- Publisher
- Elsevier BV
- Published
- 2000-04
- Volume
- 78
- Issue
- 1
- Pages
- 138-156
- ISSN
- 1077-3142 (ISSN-L)
- OpenAlex
- W2046434485
- Cited by
- 2,396
- References
- 6
- FWCI
- 20.60
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: MLESAC: A New Robust Estimator with Application to Estimating Image Geometry. https://app.cochat.ai/papers/10.1006/cviu.1999.0832
- The paper
- Torr, P. H. S., & Zisserman, A. (2000). MLESAC: A New Robust Estimator with Application to Estimating Image Geometry. Computer Vision and Image Understanding. https://doi.org/10.1006/cviu.1999.0832
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.
