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A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry

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Zhang, Zhengyou, Deriche, Rachid, Faugeras, Olivier, Luong, Quang-Tuan·1995·Artificial Intelligence

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Research works printed but not linked: 32

  1. Aggarwal, 1988, On the computation of motion from sequences of images—a review, 76, 917
  2. Asada, 1986, The curvature primal sketch, IEEE Trans. Pattern Anal. Much. Intell., 8, 2, 10.1109/TPAMI.1986.4767747 · DOI · Paper page
  3. Barnard, 1980, Disparity analysis of images, IEEE Trans. Pattern Anal. Mach. Intell., 2, 333, 10.1109/TPAMI.1980.4767032 · DOI
  4. Cheng, 1984, Image registration by matching relational structures, Pattern Recogn., 17, 149, 10.1016/0031-3203(84)90042-6 · DOI
  5. 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
  6. Deriche, 1993, A computational approach for corner and vertex detection, Int. J. Comput. Vision, 10, 101, 10.1007/BF01420733 · DOI · Paper page
  7. Fua, 1993, A parallel stereo algorithm that produces dense depth maps and preserves image features, Mach. Vision Appl., 6, 10.1007/BF01212430 · DOI
  8. 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
  9. Hannah, 1989, A system for digital stereo image matching, Photogrammetric Eng. Remote Sensing, 55, 1765
  10. 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
  11. Haralick, 1989, Pose estimation from corresponding point data, IEEE Trans. Syst. Man Cybernet., 19, 1426, 10.1109/21.44063 · DOI · Paper page
  12. 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
  13. 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
  14. Huang, 1994, Motion and structure from feature correspondences: a review, 82, 252
  15. Lee, 1991, Time-varying images: the effect of finite resolution on uniqueness, Comput. Vision Graph. Image Process. Image Understanding, 54, 325
  16. Longuet-Higgins, 1981, A computer algorithm for reconstructing a scene from two projections, Nature, 293, 133, 10.1038/293133a0 · DOI · Paper page
  17. Maître, 1987, Improving dynamic programming to solve image registration, Pattern Recogn., 20, 443, 10.1016/0031-3203(87)90071-9 · DOI
  18. Maybank, 1992, A theory of self-calibration of a moving camera, Int. J. Comput. Vision, 8, 123, 10.1007/BF00127171 · DOI · Paper page
  19. Meer, 1991, Robust regression methods for computer vision: a review, Int. J. Comput. Vision, 6, 59, 10.1007/BF00127126 · DOI · Paper page
  20. Noble, 1988, Finding corners, Image Vision Comput., 6, 121, 10.1016/0262-8856(88)90007-8 · DOI
  21. Pollard, 1985, PMF: a stereo correspondence algorithm using a disparity gradient limit, Perception, 14, 449, 10.1068/p140449 · DOI · Paper page
  22. 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
  23. Rohr, 1992, Modelling and identification of characteristic intensity variations, Image Vision Comput., 10, 66, 10.1016/0262-8856(92)90001-J · DOI
  24. Rosenfeld, 1976, Scene labeling by relaxation operations, IEEE Trans. Syst. Man Cybernet., 6, 420, 10.1109/TSMC.1976.4309519 · DOI · Paper page
  25. Shapiro, 1981, Structural description and inexact matching, IEEE Trans. Pattern Anal. Much. Intell., 3, 504, 10.1109/TPAMI.1981.4767144 · DOI · Paper page
  26. 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
  27. 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
  28. 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
  29. Zhang, 1994, Token tracking in a cluttered scene, Int. J. Image Vision Comput., 12, 110, 10.1016/0262-8856(94)90020-5 · DOI
  30. 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
  31. 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
  32. 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

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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

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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
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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

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