Robust dense matching using local and global geometric constraints

Proceedings-International Conference on Pattern Recognition

Volumn 15, Issue 1, 2000, Pages 968-972

  Lhuillier, Maxime ^a   Quan, Long ^a  

^a CNRS GRAVIR INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

GEOMETRY;

BEST-FIRST STRATEGY; FUNDAMENTAL MATRIX; GEOMETRIC CONSTRAINT; IMAGE INTERPOLATIONS; PROPAGATION ALGORITHM; PROPAGATION STRATEGIES; REGION GROWING; REGULARISATION;

PATTERN RECOGNITION;

EID: 0000051772     PISSN: 10514651     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICPR.2000.905620     Document Type: Article

References (15)

1. P. Anandan. A computational framework and an algorithm for the measurement of visual motion. IJCV, 2:283-310, 1989.
2. J. Barron, D. Fleet, and S. Beauchemin. Performance of optical flow techniques. IJCV, 12(1):43-77, 1994.
3. U.R. Dhond and J.K. Aggarwal. Structure from stereo-a review. IEEE Transactions on Systems, Man and Cybernetics, 19(6):1489-1510, 1989.
4. M.A. Fischler and R.C. Bolles. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. GIP, 24(6):381-395, 1981.
5. P. Fua. Combining stereo and monocular information to compute dense depth maps that preserve discontinuities. In IJCAI, 1991.
6. C. Harris and M. Stephens. A combined corner and edge detector. In AVC, pages 147-151, 1988.
7. A. Koschan. What is new in computational stereo since 1989: A survey on stereo papers. Technical report 93-22, University of Berlin, 1993.
8. M. Lhuillier and L. Quan. Image Interpolation by Joint View Triangulation. In CVPR99, V.2, pages 139-145.
9. O. Monga. An optimal region growing algorithm for image segmentation. IJPRAI, 1(3):351-375, 1987.
10. G.P. Otto and T.K. Chau. A region-growing algorithm for matching of terrain images. IVC, 7(2):83-94, 1989.
11. G.M. Quénot. The orthogonal algorithm for optical flow detection using dynamic programming. In International Conference on Acoustics, Speech and Signal Processing, 1992.
12. C. Schmid, R. Mohr and C. Bauckhage. Comparing and Evaluating Interest Points. In ICCV98, 1998.
13. P.H.S. Torr and D.W. Murray. The Development and Comparison of Robust Methods for Estimating the Fundamental Matrix In IJCV, 24(3):271-300, 1997.
14. Z. Zhang, R. Deriche, O. Faugeras, and Q.T. Luong. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. In AI, 78(1-2):87-119, 1995.
15. Z. Zhang. Parameter Estimation Techniques: A Tutorial with Application to Conic Fitting. Technical Report 2676, INRIA, 1995.