The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Research works printed but not linked: 32
- Aggarwal, 1988, On the computation of motion from sequences of images—a review, 76, 917
- Asada, 1986, The curvature primal sketch, IEEE Trans. Pattern Anal. Much. Intell., 8, 2, 10.1109/TPAMI.1986.4767747 · DOI · Paper page
- Barnard, 1980, Disparity analysis of images, IEEE Trans. Pattern Anal. Mach. Intell., 2, 333, 10.1109/TPAMI.1980.4767032 · DOI
- Cheng, 1984, Image registration by matching relational structures, Pattern Recogn., 17, 149, 10.1016/0031-3203(84)90042-6 · DOI
- Chou, 1990, Moment-preserving pattern matching, Pattern Recogn., 23, 461, 10.1016/0031-3203(90)90067-U · doi:10.1016/0031-3203(90)90067-u
- Deriche, 1993, A computational approach for corner and vertex detection, Int. J. Comput. Vision, 10, 101, 10.1007/BF01420733 · DOI · Paper page
- Fua, 1993, A parallel stereo algorithm that produces dense depth maps and preserves image features, Mach. Vision Appl., 6, 10.1007/BF01212430 · DOI
- Goshtasby, 1984, A two-stage cross correlation approach to template matching, IEEE Trans. Pattern Anal. Mach. Intell., 6, 374, 10.1109/TPAMI.1984.4767532 · doi:10.1109/tpami.1984.4767532
- Hannah, 1989, A system for digital stereo image matching, Photogrammetric Eng. Remote Sensing, 55, 1765
- Haralick, 1986, Computer vision theory: the lack thereof, Comput. Vision Graph. Image Process., 36, 372, 10.1016/0734-189X(86)90082-4 · doi:10.1016/0734-189x(86)90082-4
- Haralick, 1989, Pose estimation from corresponding point data, IEEE Trans. Syst. Man Cybernet., 19, 1426, 10.1109/21.44063 · DOI · Paper page
- Horaud, 1989, Stereo correspondence through feature grouping and maximal cliques, IEEE Trans. Pattern Anal. Mach. Intell., 11, 1168, 10.1109/34.42855 · doi:10.1109/34.42855
- Huang, 1989, Some properties of the E matrix in two-view motion estimation, IEEE Trans. Pattern Anal. Mach. Intell., 11, 1310, 10.1109/34.41368 · doi:10.1109/34.41368
- Huang, 1994, Motion and structure from feature correspondences: a review, 82, 252
- Lee, 1991, Time-varying images: the effect of finite resolution on uniqueness, Comput. Vision Graph. Image Process. Image Understanding, 54, 325
- Longuet-Higgins, 1981, A computer algorithm for reconstructing a scene from two projections, Nature, 293, 133, 10.1038/293133a0 · DOI · Paper page
- Maître, 1987, Improving dynamic programming to solve image registration, Pattern Recogn., 20, 443, 10.1016/0031-3203(87)90071-9 · DOI
- Maybank, 1992, A theory of self-calibration of a moving camera, Int. J. Comput. Vision, 8, 123, 10.1007/BF00127171 · DOI · Paper page
- Meer, 1991, Robust regression methods for computer vision: a review, Int. J. Comput. Vision, 6, 59, 10.1007/BF00127126 · DOI · Paper page
- Noble, 1988, Finding corners, Image Vision Comput., 6, 121, 10.1016/0262-8856(88)90007-8 · DOI
- Pollard, 1985, PMF: a stereo correspondence algorithm using a disparity gradient limit, Perception, 14, 449, 10.1068/p140449 · DOI · Paper page
- Radig, 1984, Image sequence analysis using relational structures, Pattern Recogn., 17, 161, 10.1016/0031-3203(84)90043-8 · doi:10.1016/0031-3203(84)90043-8
- Rohr, 1992, Modelling and identification of characteristic intensity variations, Image Vision Comput., 10, 66, 10.1016/0262-8856(92)90001-J · DOI
- Rosenfeld, 1976, Scene labeling by relaxation operations, IEEE Trans. Syst. Man Cybernet., 6, 420, 10.1109/TSMC.1976.4309519 · DOI · Paper page
- Shapiro, 1981, Structural description and inexact matching, IEEE Trans. Pattern Anal. Much. Intell., 3, 504, 10.1109/TPAMI.1981.4767144 · DOI · Paper page
- Thompson, 1993, Detecting moving objects using the rigidity constraint, IEEE Trans. Pattern Anal. Much. Intell., 15, 162, 10.1109/34.192488 · doi:10.1109/34.192488
- Tsai, 1984, Uniqueness and estimation of three-dimensional motion parameters of rigid objects with curved surface, IEEE Trans. Pattern Anal. Mach. Intell., 6, 13, 10.1109/TPAMI.1984.4767471 · DOI · Paper page
- Weng, 1989, Motion and structure from two perspective views: algorithms, error analysis and error estimation, IEEE Trans. Pattern Anal. Mach. Intell., 11, 451, 10.1109/34.24779 · DOI · Paper page
- Zhang, 1994, Token tracking in a cluttered scene, Int. J. Image Vision Comput., 12, 110, 10.1016/0262-8856(94)90020-5 · DOI
- Zhang, 1992, Estimation of displacements from two 3D frames obtained from stereo, IEEE Trans. Pattern Anal. Mach. Intell., 14, 1141, 10.1109/34.177380 · DOI
- Zhuang, 1992, A highly robust estimator through partially likelihood function modeling and its application in computer vision, IEEE Trans. Pattern Anal. Mach. Intell., 14, 19, 10.1109/34.107011 · doi:10.1109/34.107011
- Zucker, 1981, Continuous relaxation and local maxima selection: conditions for equivalence, IEEE Trans. Pattern Anal. Mach. Intell., 3, 117, 10.1109/TPAMI.1981.4767069 · doi:10.1109/tpami.1981.4767069
Cited by
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
Object recognition from local scale-invariant features
Lowe, D. G. (1999) · Proceedings of the Seventh IEEE International Conference on Computer Vision · doi:10.1109/iccv.1999.790410 · Cited by 16,472
Ma, Y., Soatto, S., Košecká, J., & Sastry, S. S. (2004) · Interdisciplinary Applied Mathematics · doi:10.1007/978-0-387-21779-6 · Cited by 893
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
Visual Modeling with a Hand-Held Camera
Pollefeys, M., Van Gool, L., Vergauwen, M., Verbiest, F., Cornelis, K., Tops, J., & Koch, R. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000025798.50602.3a · Cited by 874
Metadata
- Authors
- Zhang, Z., Deriche, R., Faugeras, O., & Luong, Q.-T.
- Venue
- Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 1995-10
- Volume
- 78
- Issue
- 1-2
- Pages
- 87-119
- ISSN
- 0004-3702 (ISSN-L)
- OpenAlex
- W2011891945
- Cited by
- 1,367
- References
- 1
- FWCI
- 47.12
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 6989 d)
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. https://app.cochat.ai/papers/10.1016/0004-3702(95)00022-4
- The paper
- Zhang, Z., Deriche, R., Faugeras, O., & Luong, Q.-T. (1995). A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Artificial Intelligence. https://doi.org/10.1016/0004-3702(95)00022-4
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.