Feature matching by searching maximum clique on high order association graph

Proceedings - International Conference on Image Analysis and Processing, ICIAP 1999

Volumn , Issue , 1999, Pages 642-658

  Branca, A ^a   Stella, E ^a   Distante, A ^a  

^a CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

3D SURFACE RECONSTRUCTION; ASSOCIATION GRAPH; CLASSICAL PROBLEMS; DYNAMICAL EQUATION; FEATURE MATCHING; MAXIMUM CLIQUE PROBLEMS; PROJECTIVE INVARIANT; SUBGRAPH ISOMORPHISM;

IMAGE ANALYSIS;

GRAPH THEORY;

EID: 0344302327     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIAP.1999.797669     Document Type: Conference Paper

References (34)

1. J. Semple and G. Kneebone Algebraic Projective Geometry Oxford University Press, 1979.
2. H. Chabbi, M. O. Berger "Using Projective Geometry to Recover Planar Surfaces in Stere-ovision" Pattern Recognition Vol. 29, No. 4, pp. 533-548, 1996.
3. D. Sinclair, A. Blake "Qualitative Planar Region Detection" International Journal of Computer Vision Vol 18 No 1 pp 77-91 (1996).
4. I. Weiss "Projective invariants of shapes" Proc. of DARPA Image understanding workshop Pittsburgh, Pennsylvania, USA, 1990, pp. 650-659.
5. P. Gurdjos, P. Dalle, S. Castan "Tracking 3D Coplanar Points in the Invariant Perspective Coordinates Plane" Proc. of ICPR '96
6. S. Carlsson "Projectively Invariant Decomposition and recognition of Planar Shapes" International Journal of Computer Vision Vol 17 No 2 pp 193-209 1996.
7. C. A. Rothwell,A. Zisserman,D. A. Forsyth,J. L. Mundy "Planar Object Recognition using Projective Shape Representation" International Journal of Computer Vision Vol 16 pp 57-99 1995.
8. K. Kanatani "Computational Cross Ratio for Computer Vision" CVGIP: Image Understanding Vol 60 No 3 pp 371-381 1994.
9. S. J. Maybank "Probabilistic Analysis of the Application of Cross Ratio to Model Based Vision" International Journal of Computer Vision Vol 16 pp 5-33 (1995)
10. N. Ayache, "Artificial Vision for Mobile Robots",MIT Press, 1991
11. D. Marr, T. Poggio, "A computational theory of human stereo vision", Proc. of Royal Society of London B, Vol. 204.
12. P. Fua, "Combining Stereo and Monocular Information to Compute Dense Depth Maps that Preserve Depth Discontinuities". In Proc. IJCAI91.
13. V. Venkateswar and R. Chellappa "Hierarchical Stereo and Motion Correspondence using Feature Groupings" Int. Journal of Computer Vision 15, 245-269 (1995)
14. S. Sull and N. Ahuja "Integrated Matching and Segmentation of Multiple Features in two Views" Computer Vision and Image Understanding Vol. 62, N. 3, pp. 279-297, 1995.
15. M. J. Fletcher, K. Warwick, R. J. Mitchell "The application of a Hybrid tracking algorithm to motion analysis" IEEE Proc. CVPR 84-89 (1991).
16. K. Rangarajan and M. Shah "Establishing motion correspondence" IEEE Proc. CVPR 103-108 1991.
17. S. S. Vincent, X. Hwang, "Tracking feature points in time-varying images using an opportunistic selection approach" Pattern Recognition 22, 247-256 (1992).
18. J. L. Mundy and A. Zisserman, Eds. Geometric Invariance in Computer Vision MIT Press, Cambridge, Massachusetts, USA, 1992.
19. L. Quan "Invariants of six Points and Projective Reconstruction from Three Uncali-brated Images" IEEE Trans, on PAMI Vol. 17, No. l, January 1995.
20. O. Faugeras "Wath can be seen in 3D with an uncalibrated stereo rig?" Proc. ECCV92
21. R. Hartley,R. Gupta, and T. chang "Stereo from uncalibrated cameras" Proc. of CVPR92
22. Q. Zheng and R. Chellappa "Point correspondence and motion detection in long image sequence" IEEE Proc. CVPR93.
23. Cheng, C L and Aggarwal, J K "A two stage approach to the correspondence problem via forward-searching and backward-correcting" Proc. 10th Int. Conf. on Pattern Recognition Atlantic City, NJ (16-21 June 1990) pp 173-177.
24. G. Sparr "An algebraic/analytic method for reconstruction from image correspondence" Proceedings of the 7th Scandinavian Conference on Image Analysis 1991.
25. P. M. Pardalos and J. Xue, "The maximum clique problem," J. Global Optimization, vol. 4, pp. 301-328, 1994.
26. R. Horaud and T. Skordas, "Stereo correspondence through feature grouping and maximal cliques" IEEE Trans. Pattern Anal. Machine Intell. vol. 11, no. 11, pp. 1168-1180, 1989.
27. W. J. Christmas, M. Petrou, and J. Kittler, "Structural matching in computer vision using probabilistic relaxation" IEEE Trans. Pattern Anal. Machine Intell. vol. 17, no. 8, pp. 749-764, 1995.
28. S. Z. Li, "Shape Matching Based on Invariants" Chapter X in Omidvar (ed) Shape Analysis Progress in Neural Networks, Vol. 6, Ablex (1998).
29. R. C. Wilson, A. N. Evans and E. R. Hancock, "Relational Matching by discrete relaxation", Image Vision Computing vol. 13, pp. 441-421, 1995.
30. A. Jagota "Approximating Maximum Clique with a Hopfield Neural Network " IEEE Transaction on Neural Networks Vol. 6, No. 3, pp. 724-735, May 1995.
31. H. P. Moravec The Stanford Cart and the CMU Rover,Vroc. IEEE,1983.
32. M. Pelillo "The Dynamics of Nonlinear Relaxation Labeling Processes" to appear in Journal of Mathematical Imaging and Vision September 1996.
33. M. Pelillo "Relaxation Labeling Networks for the Maximum Clique Problem" Journal of Artificial Neural Networks 2(4), 313-328 (1995).
34. M. Pelillo "A Unifying Framework for Relational Structure Matching" ICPR'98.