Perceptual grouping for generic recognition

International Journal of Computer Vision

Volumn 20, Issue 1-2, 1996, Pages 59-80

  Havaldar, Parag ^a   Medioni, Gérard ^a   Stein, Fridtjof ^a,b  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL GEOMETRY; COMPUTER VISION; FEATURE EXTRACTION; GRAPH THEORY; IMAGE PROCESSING; MATHEMATICAL MODELS;

CLOSURE; GENERIC RECOGNITION; MATCHING HYPOTHESES; PARALLELISM; PERCEPTUAL GROUPING; PROXIMITY; PROXIMITY INDEXING; SINGLE INTENSITY IMAGE; SYMMETRY;

OBJECT RECOGNITION;

EID: 0030264676     PISSN: 09205691     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF00144117     Document Type: Article

References (36)

1. Alavi, Y., Chartrand, G., Lesniak, L., Lick, D.R., and Wall, C.E. 1985. Graph Theory with Applications to Algorithms and Computer Science. John Wiley and Sons.
2. Biederman, I. 1987. Recognition-by-components: A theory of human image understanding. Psychological Review, 94(2): 115-147.
3. Breuel, T.M. 1989. Adaptive model based indexing. In Proceedings of the DARPA IUW, pp. 805-814.
4. Brooks, R.A. 1983. Model based three dimensional interpretation of two dimensional images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 5(2):140-150.
5. Canny, J. 1986. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8:679-698.
6. Clemens, D.T. and Jacobs, D.W. 1991. Space and time bounds on indexing 3-D models from 2-D images. IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1007-1017.
7. Corneil, D. and Gotlieb, C. 1970. An efficient algorithm for graph isomorphism. Journal of the ACM, 17(1):51-64.
8. Dickinson, S.J., Pentland, A.P., and Rosenfeld, A. 1992. 3-D shape recovery using distributed aspect matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 174-198.
9. Ettinger, G.J. 1988. Large hierarchical object recognition using libraries of parameterized model sub-parts. In Proceedings of IEEE CVPR, Ann Arbor, Michigan.
10. Fan, T.J. 1990. Describing and Recognizing 3-D Objects Using Surface Properties. Springer Verlag: New York.
11. Flynn, P.J. and Jain, A.K. 1991. 3D object recognition using invariant feature indexing. IEEE Workshop on Directions in CAD-Based Vision, Hawaii, pp. 115-123.
12. Forsyth, D., Mundy, J.L., Zisserman, A., Coelho, C., Heller, A., and Rothwell, C. 1991. Invariant descriptors for 3-D object recognition and pose. IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 971-991.
13. Grimson, W.E.L. 1990. Object Recognition by Computer - The Role of Geometric Constraints, MIT Press: Cambridge, MA.
14. Herault, L., Horaud, R., Veillon, F., and Niez, J.J. 1990. Symbolic image matching by simulated annealing. In Proceedings of the British Machine Vision Conference, University of Oxford, England, pp. 319-324.
15. Kanade, T. 1981. Recovery of the three-dimensional shape of an object from a single view. Artificial Intelligence, 17:409-4460.
16. Kriegman, D J. and Ponce, J. 1990. On recognizing and positioning curve 3-D objects from image contours. IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1127-1137.
17. Lamdan, Y., Schwartz, J.T., and Wolfson, H.J. 1988. On recognition of 3-D objects from 2-D images. In Proceedings of IEEE International Conference on Robotics and Automation, pp. 1407-1413.
18. Lamdan, Y. and Wolfson, H.J. 1988. Geometric Hashing: A general and efficient model-based recognition scheme. In Proceedings of IEEE ICCV, Tampa, Florida, pp. 218-249.
19. Lowe, D.G. 1987. Three-dimensional object recognition from single two-dimensional images. Artificial Intelligence, 31:355-395.
20. Mohan, R. and Nevatia, R. 1989. Using perceptual organization to extract 3-D structures. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(11):1121-1139.
21. Nevatia, R. and Price, K. 1992. Locating structures in aerial images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 4(5):476-484.
22. Noltmeier, H. 1976. Graphentheorie, de Gruyter.
23. Parvin, B. and Medioni, G. 1991. A dynamic system for object description and correspondence. Proceedings of IEEE CVPR, Maui, Hawaii, pp. 393-399.
24. Rao, K. and Nevatia, R. 1989. Description of complex objects from incomplete and imperfect data. In Proceedings of the Image Understanding Workshop, Palo Alto, California, pp. 399-414.
25. Roberts, L.G. 1968. Machine Perception of Three Dimensional Solids. Optical and Electro-Optical Information Processing, pp. 159-197.
26. Rom, H. and Medioni, G. 1993. Hierarchical decomposition and axial shape description. IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 973-981.
27. Rothwell, C. 1993. Hierarchical object descriptions using invariants. Applications of Invariants in Computer Vision II, Azores, pp. 287-302.
28. Saint-Marc, P. and Medioni, G. 1990. B-spline contour representation and symmetry detection. In First European Conference on Computer Vision, Antibes, France, pp. 604-606.
29. Stein, F. Structural indexing for object recognition. Ph.D. Thesis, USC IRIS.
30. Stein, F. and Medioni, G. 1992a. Structural indexing: Efficient three dimensional object recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 125-145.
31. Stein, F. and Medioni, G. 1992b. Structural indexing: Efficient two dimensional object recognition (correspondence). IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1198-1204.
32. Stein, F., Medioni, G., and Havaldar, P. 1993. Recognizing 3D objects from 2D groupings. Proceedings of the Workshop on Computer Vision in Space Applications, Antibes, France, pp. 453-464.
33. Ullman, S. and Basri, R. 1991. Recognition by linear combinations of models. IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 992-1006.
34. Ulupinar, F. and Nevatia, R. 1993. Perception of 3-D surfaces from 2-D contours. In IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 3-18.
35. Witkin, A. and Tanenbaum. 1983. On the role of structure in vision. In Human and Machine Vision, J. Beck, B. Hope, and A. Rosenfeld (Eds.). Academic Press: New York, pp. 481-543.
36. Zerroug, M. and Nevatia, R. 1993. Scene segmentation and volumetric descriptions of SHGCs from a single intensity image. Image Understanding Workshop, pp. 905-916.