The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
The fundamental matrix: Theory, algorithms, and stability analysis
Overview
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
Three-dimensional computer vision: a geometric viewpoint
(1994) · Choice Reviews Online · doi:10.5860/choice.32-0357 · Cited by 3,030
A computer algorithm for reconstructing a scene from two projections
Longuet-Higgins, H. C. (1981) · Nature · doi:10.1038/293133a0 · Cited by 2,383
The interpretation of a moving retinal image
Longuet-Higgins, H. C., & Prazdny, K. (1980) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1980.0057 · Cited by 1,421
An Efficient and Accurate Camera Calibration Technique For 3D Machine Vision
Tsai, R. (1986) · Medical Entomology and Zoology · Cited by 1,258
Geometric invariance in computer vision
Mundy, J. L., & Zisserman, A. (1992) · The MIT Press eBooks · Cited by 1,020
Camera self-calibration: Theory and experiments
Faugeras, O. D., Luong, Q. T., & Maybank, S. J. (1992) · Lecture Notes in Computer Science · doi:10.1007/3-540-55426-2_37 · Cited by 946
Self-citationWhat can be seen in three dimensions with an uncalibrated stereo rig?
Faugeras, O. D. (1992) · Lecture Notes in Computer Science · doi:10.1007/3-540-55426-2_61 · Cited by 839
Self-citationTsai, R. Y., & Huang, T. S. (1984) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1984.4767471 · Cited by 828
A theory of self-calibration of a moving camera
Maybank, S. J., & Faugeras, O. D. (1992) · International Journal of Computer Vision · doi:10.1007/bf00127171 · Cited by 820
Self-citationAlgebraic Projective Geometry.
Atchison, W. F., Semple, J. G., & Kneebone, G. T. (1953) · The American Mathematical Monthly · doi:10.2307/2307420 · Cited by 704
Estimation of relative camera positions for uncalibrated cameras
Hartley, R. I. (1992) · Lecture Notes in Computer Science · doi:10.1007/3-540-55426-2_62 · Cited by 544
Fitting conic sections to scattered data
Bookstein, F. L. (1979) · Computer Graphics and Image Processing · doi:10.1016/0146-664x(79)90082-0 · Cited by 528
MOTION AND STRUCTURE FROM MOTION IN A PIECEWISE PLANAR ENVIRONMENT
FAUGERAS, O. D., & LUSTMAN, F. (1988) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001488000285 · Cited by 528
Self-citationMotion and structure from two perspective views: algorithms, error analysis, and error estimation
Weng, J., Huang, T. S., & Ahuja, N. (1989) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.24779 · Cited by 438
Real time correlation-based stereo: algorithm, implementations and applications
Faugeras, O. D., Hotz, B., Mathieu, H., Viéville, T., Zhang, Z., Fua, P., Théron, E., Moll, L., Berry, G., Vuillemin, J. E., et al. (1993) · Cited by 395
Self-citationDirect methods for recovering motion
Horn, B. K. P., & Weldon, E. J. (1988) · International Journal of Computer Vision · doi:10.1007/bf00836281 · Cited by 387
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
Horn, B. K. P. (1990) · International Journal of Computer Vision · doi:10.1007/bf00137443 · Cited by 290
Inherent ambiguities in recovering 3-D motion and structure from a noisy flow field
Adiv, G. (1989) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.24780 · Cited by 270
Zhang, Z., & Faugeras, O. D. (1992) · Springer series in information sciences · doi:10.1007/978-3-642-58148-9 · Cited by 205
Self-citationComputational framework for determining stereo correspondence from a set of linear spatial filters
Jones, D. G., & Malik, J. (1992) · Image and Vision Computing · doi:10.1016/0262-8856(92)90015-u · Cited by 191
3-D scene representation as a collection of images
Laveau, S., & Faugeras, O. D. (2002) · Proceedings of 12th International Conference on Pattern Recognition · doi:10.1109/icpr.1994.576404 · Cited by 165
Self-citationFang, J., & Huang, T. S. (1984) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1984.4767569 · Cited by 155
Computing differential properties of 3-D shapes from stereoscopic images without 3-D models
Devernay, F., & Faugeras (1994) · doi:10.1109/cvpr.1994.323831 · Cited by 150
On determining the fundamental matrix : analysis of different methods and experimental results
Luong, Q.-T., Rachid Deriche, B., Faugeras, O. D., & Papadopoulo, T. (1993) · OpenGrey (Institut de l'Information Scientifique et Technique) · Cited by 149
Self-citationRobust recovery of the epipolar geometry for an uncalibrated stereo rig
Rachid Deriche, B., Zhang, Z., Luong, Q.-T., & Faugeras, O. D. (1994) · Lecture notes in computer science · doi:10.1007/3-540-57956-7_64 · Cited by 149
Self-citationAn algorithm for self calibration from several views
Hartley (1994) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.1994.323923 · Cited by 128
Navigation using affine structure from motion
Beardsley, P. A., Zisserman, A., & Murray, D. W. (1994) · Lecture notes in computer science · doi:10.1007/bfb0028337 · Cited by 100
Computing matched-epipolar projections
Hartley, R. I., & Gupta, R. (2002) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.1993.341076 · Cited by 96
Structure from motion-a critical analysis of methods
Jerian, C., & Jain, R. (1991) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/21.97478 · Cited by 67
Computational projective geometry
Kanatani, K. (1991) · CVGIP Image Understanding · doi:10.1016/1049-9660(91)90034-m · Cited by 64
Recursive affine structure and motion from image sequences
McLauchlan, P. F., Reid, I. D., & Murray, D. W. (1994) · Lecture notes in computer science · doi:10.1007/3-540-57956-7_26 · Cited by 52
Estimation three-dimensional motion of rigid objects from noisy observations
Philip, J. (1991) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.67631 · Cited by 47
A computational framework for determining stereo correspondence from a set of linear spatial filters
Jones, D. G., & Malik, J. (1992) · Lecture notes in computer science · doi:10.1007/3-540-55426-2_45 · Cited by 45
Olsen, S. I. (1992) · Lecture notes in computer science · doi:10.1007/3-540-55426-2_35 · Cited by 33
Dullerud, G. E. (1996) · Birkhäuser Boston eBooks · doi:10.1007/978-1-4612-2440-2_5 · Cited by 14
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
Seitz, S. M., & Dyer, C. R. (1996) · Proceedings of the 23rd annual conference on Computer graphics and interactive techniques · doi:10.1145/237170.237196 · Cited by 719
Wide Baseline Stereo Matching based on Local, Affinely Invariant Regions
Tuytelaars, T., & Gool, L. V. (2000) · Procedings of the British Machine Vision Conference 2000 · doi:10.5244/c.14.38 · Cited by 450
From Gestalt Theory to Image Analysis: A Probabilistic Approach
Desolneux, A., Moisan, L., & Morel, J.-M. (2008) · Interdisciplinary Applied Mathematics · doi:10.1007/978-0-387-74378-3 · Cited by 300
Malis, E., & Chaumette, F. (2000) · International Journal of Computer Vision · doi:10.1023/a:1008181530296 · Cited by 273
Metadata
- Authors
- Luong, Q.-T., & Faugeras, O. D.
- Venue
- International Journal of Computer Vision
- Published
- 1996-01
- Volume
- 17
- Issue
- 1
- Pages
- 43-75
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W2145713909
- Cited by
- 677
- References
- 36
- FWCI
- 37.04
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.
