Contextual inference in contour-based stereo correspondence

International Journal of Computer Vision

Volumn 69, Issue 1, 2006, Pages 59-75

  Li, Gang ^a   Zucker, Steven W ^a  

^a Yale University   (United States)

Author keywords

Curve matching; Orientation disparity; Position disparity; Relaxation labeling; Stereo correspondence

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; IMAGE ANALYSIS; MATHEMATICAL MODELS; THREE DIMENSIONAL;

CURVE MATCHING; ORIENTATION DISPARITY; POSITION DISPARITY; RELAXATION LABELING; STEREO CORRESPONDENCE;

STEREO VISION;

EID: 33646860972     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-006-6853-9     Document Type: Article

References (42)

1. Alibhai, S. and Zucker, S.W. 2000. Contour-based correspondence for stereo. In ECCV.
2. Barnard, S.T. and Fischler, M.A. 1982. Computational stereo. ACM Computing Surveys, 14(4):553-572.
3. Ben-Shahar, O. and Zucker, S.W. 2003. The perceptual organization of texture flow: A contextual inference approach. IEEE Trans. on PAMI, 25(4):401-417.
4. Brown, M.Z., Bruschka, D., and Hager, G.D. 2003. Advances in computational stereo. IEEE Trans. on PAMI, 25(8):993-1008.
5. Canny, J. 1986. A computational approach to edge detection. IEEE Trans. on PAMI, 8(6):679-698.
6. Christmas, W.J., Kittler, J., and Petrou, M. 1995. Structural matching in computer vision using probabilistic relaxation. IEEE Trans. on PAMI, 17(8):749-764.
7. Cipolla, R. and Giblin, P. 2000. Visual Motion of Curves and Surfaces. Cambridge Univ. Press.
8. Cipolla, R. and Zisserman, A. 1992. Qualitative surface shape from deformation of image curves. International Journal of Computer Vision, 8:53-69.
9. David, C. and Zucker, S.W. 1990. Potentials, valleys, and dynamic global coverings. International Journal of Computer Vision, 5:219-238.
10. Dhond, U.R. and Aggarwal, J.K. 1989. Structure from stereo - A review. IEEE Trans. on Systems, Man, and Cybernetics, 19(6): 1489-1510.
11. do Carmo, M.P. 1976. Differential Geometry of Curves and Surfaces. Prentice-Hall, Inc.
12. Faugeras, O. 1993. Three-Dimensional Computer Vision. The MIT Press.
13. Faugeras, O. and Robert, L. 1996. What can two images tell us about a third one?. International Journal of Computer Vision, 18:5-19.
14. Hartley, R. and Zisserman, A. 2000. Multiple View Geometry in Computer Vision. Cambridge Univ. Press.
15. Howard, I.P. and Rogers, B.J. 1995. Binocular Vision and Stereopsis. Oxford Univ. Press.
16. Hubel, D.H. and Wiesel, T.N. 1977. Functional architecture of macaque monkey visual cortex. Proc. R. Soc. Lond. B., 198:1-59.
17. Hummel, R.A. and Zucker, S.W. 1983. On the foundations of relaxation labeling processes. IEEE Trans. on PAMI, 5(3):267-287.
18. Iverson, L.A. and Zucker, S.W. 1995. Logical/linear operators for image curves. IEEE Trans. on PAMI, 17(10):982-996.
19. Jones, D.G. and Malik, J. 1992. Determining three-dimensional shape from orientation and spatial frequency disparities. In ECCV.
20. Krol, J.D. and van de Grind, W.A. 1980. The double-nail illusion: Experiments on binocular vision with nails, needles, and pins. Perception, 9:651-669.
21. Lehky, S. and Sejnowski, T. 1990. Neural model of stereoacuity and depth interpolation based on a distributed representation of stereo disparity. J. Neurosci, 10:2281-2299.
22. Maciel, J. and Costeira, J.P. 2003. A global solution to sparse correspondence problems. IEEE Trans. on PAMI, 25(2): 187-199.
23. Marr, D. 1982. Vision. W.H. Freeman and Company.
24. Marr, D. and Poggio, T. 1976. Cooperative computation of stereo disparity. Science, 194:283-287.
25. Marr, D. and Poggio, T. 1979. A computational theory of human stereo vision. Proc. Royal Soc. London B, 204:301-328.
26. Medioni, G. and Nevatia, R. 1985. Segment-based stereo matching. CVGIP, 31(1):2-18.
27. Nasrabadi, N.M. 1992. A stereo vision technique using curve-segments and relaxation matching. IEEE Trans. on PAMI, 14(5):566-572.
28. Nemhauser, G.L. and Wolsey, L.A. 1988. Integer and Combinatorial Optimization. John Wiley & Sons Inc.
29. Parent, P. and Zucker, S.W. 1989. Trace inference, curvature consistency, and curve detection. IEEE Trans. on PAMI, 11(8):823-839.
30. Poggio, G.F. and Fischer, B. 1977. Binocular interaction and depth sensitivity in striate and prestriate cortex of behaving rhesus monkey. J. Neurophys. 40: 1392-1405.
31. Poggio, G.F. and Poggio T. 1984. The analysis of stereopsis. Annual Review of Neuroscience, 7: 379-412.
32. Pollard, S.B., Mayhew, J.E.W., and Frisby, J.P. 1985. PMF: A stereo correspondence algorithm using a disparity gradient limit. Perception, 14:449-470.
33. Richard, A.F. 1985. Primates in Nature. W.H. Freeman and Company.
34. Robert, L. and Faugeras, O. 1991. Curve-based stereo: Figural continuity and curvature. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition.
35. Scharstein, D. and Szeliski, R. 2002. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. International Journal of Computer Vision, 47(1/2/3):7-42.
36. Schmid, C. and Zisserman, A. 2000. The geometry and matching of lines and curves over multiple views. International Journal of Computer Vision, 40(3):199-233.
37. Shan, Y. and Zhang, Z. 2002. New measurements and corner-guidance for curve matching with probabilistic relaxation. International Journal of Computer Vision, 46(2):157-171.
38. Wildes, R.P. 1991. Direct recovery of three-diemensional scene geometry from binocular stereo disparity. IEEE Trans. on PAMI, 13(8):761-774.
39. Zhang, Z. 2000. A flexible new technique for camera calibration. IEEE Trans. on PAMI, 22(11):1330-1334.
40. Zitnick, C. and Kanade, T. 2000. A cooperative algorithm for stereo mathching and occlusion detection. IEEE Trans. on PAMI, 22(7):675-684.
41. Zucker, S.W. 2004. Which computation runs in visual cortical columns?. In J.L. van Hemmen and T. Sejnowski (Eds.), Problems in Systems Neuroscience, Oxford University Press, In Press.
42. Zucker, S.W., Dobbins, A., and Iverson, L. 1989. Two stages of curve detection suggest two styles of visual computation. Neural Computation, 1:68-81.