3D Free-Form Object Recognition Using Indexing by Contour Features

Computer Vision and Image Understanding

Volumn 71, Issue 3, 1998, Pages 334-355

  Chen, Jin Long ^a   Stockman, George C ^a  

^a Michigan State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; DATABASE SYSTEMS; EDGE DETECTION; FEATURE EXTRACTION; IMAGE ANALYSIS; MATHEMATICAL MODELS;

CONTOUR FEATURES; FREE FORM OBJECTS;

OBJECT RECOGNITION;

EID: 0032164948     PISSN: 10773142     EISSN: None     Source Type: Journal    
DOI: 10.1006/cviu.1997.0648     Document Type: Article

References (38)

1. N. Ayache and O. D. Faugeras, HYPER: A new approach for the recognition and positioning of two-dimensional objects, IEEE Trans. Pattern Anal. Mach. Intell. 8(1), 1986, 44-54.
2. D. H. Ballard and C. H. Brown, Computer Vision, Prentice Hall, Englewood Cliffs, NJ, 1982.
3. R. Basri, The alignment of objects with smooth surfaces: Error analysis of the curvature method, in Proceedings IEEE Conf. on Computer Vision and Pattern Recognition, Illinois, June 1992, pp. 341-346.
4. R. Basri and S. Ullman, The alignment of objects with smooth surfaces, in Proceedings 2nd Int. Conf. on Computer Vision, Florida, December 1988, pp. 482-488.
5. J. S. Beis and D. G. Lowe, Learning indexing functions for 3-D model-based object recognition, in Proceedings IEEE Conf. on Computer Vision and Pattern Recognition, Seattle, WA, 1994, pp. 275-280.
6. R. C. Bolles and R. A. Cain, Recognizing and locating partially visible objects the local-feature-focus method, Int. J. Robotics Res. 1(3), 1982, 57-82.
7. R. C. Bolles and P. Horaud, 3DPO: A three-dimensional part orientation system, Int. J. Robotics Res. 5(3), 1986, 3-26.
8. J. B. Burns, R. S. Weiss, and E. M. Riseman, View variation of point-set and line-segment features, IEEE. Trans. Pattern Anal. Mach. Intell. 15(1), 1993, 51-68.
9. C.-C. Chen, Improved moment invariants for shape discrimination, Pattern Recog. 26(5), 1993, 683-686.
10. J.-L. Chen, On Recognizing and Tracking 3D Curved Objects from 2D Images, Ph.D. thesis, Department of Computer Science, Michigan State University, 1996.
11. J.-L. Chen and G. C. Stockman, Determining pose of 3D objects with curved surfaces, IEEE Trans. Pattern Anal. Mach. Intell. 18(1), 1996, 52-57.
12. J.-L. Chen, G. C. Stockman, and K. Rao, Recovering and tracking pose of curved 3D objects from 2D images, in Proceedings IEEE Conf. on Computer Vision and Pattern Recognition, New York, June 1993, pp. 233-239.
13. D. T. Clemens and D. W. Jacobs, Space and time bounds on indexing 3-D models from 2-D images, IEEE Trans. Pattern Anal. Mach. Intell. 13(10), 1991, 1007-1017.
14. M. Dhome, M. Richetin, J.-T. Lapreste, and G. Rives, Determination of the attitude of 3D objects from a single perspective view, IEEE Trans. Pattern Anal. Mach. Intell. 11(12), 1989, 1265-1278.
15. M.-P. Dubuisson and A. K. Jain, Object contour extraction using color and motion, in Proceedings IEEE Conf. on Computer Vision and Pattern Recognition, New York, June 1993, pp. 471-476.
16. O. Faugeras and M. Herbert, The representation, recognition, and locating of 3D objects, Int. J. Robotics Res. 5(3), 1986, 27-52.
17. P. J. Flynn, CAD-Based Computer Vision: Modeling and Recognition Strategies, Ph.D. thesis, Department of Computer Science, Michigan State University, 1990.
18. P. J. Flynn and A. K. Jain, Bonsai: 3D object recognition using constrained search, IEEE Trans. Pattern Anal. Mach. Intell. 13(10), 1991, 1066-1075.
19. W. E. L. Grimson, Object Recognition by Computer: The Role of Geometric Constraints, MIT Press, Cambridge, MA, 1990.
20. W. E. L. Grimson and T. Lozano-Perez, Localizing overlapping parts by searching the interpretation tree, IEEE Trans. Pattern Anal. Mach. Intell. 9(4), 1987, 469-482.
21. D. D. Hoffman and W. A. Richards, Codon constraints on closed 2D shapes, Comput. Vision Graphics Image Process. 31, 1985, 265-281.
22. D. D. Hoffman and W. A. Richards, Parts of recognition, Cognition 18, 1985, 65-96.
23. R. Horaud, New methods for matching 3D objects with single perspective views, IEEE Trans. Pattern Anal. Mach. Intell. 9(3), 1987, 401-412.
24. M. K. Hu, Visual pattern recognition by moment invariants, IEEE Trans. Inform. Theory 12, 1962, 179-187.
25. D. P. Huttenlocher and S. Ullman, Object recognition using alignment, in Proceedings 1st Int. Conf. on Computer Vision, London, 1987, pp. 102-111.
26. D. J. Kriegman and J. Ponce, On recognizing and positioning curved 3D objects from image contours, IEEE Trans. Pattern Anal. Mach. Intell. 12, 1990, 1127-1137.
27. Y. Lamdan and H. J. Wolfson, Geometric hashing: A general and efficient model-based recognition scheme, in Proceedings 2nd Int. Conf. on Computer Vision, 1988, pp. 238-249.
28. C. C. Lin and R. Chellappa, Classification of partial 2-D shapes using fourier descriptors, IEEE Trans. Pattern Anal. Mach. Intell. 9(5), 1987, 686-673.
29. D. G. Lowe, Perceptual Organization and Visual Recognition, Kluwer Academic, Boston, 1985.
30. D. G. Lowe, Three-dimensional object recognition from single two-dimensional images, Artificial Intell. 31(3), 1987, 355-395.
31. D. G. Lowe, Fitting parameterized 3-D models to images, IEEE Trans. Pattern Anal. Mach. Intell. 13(5), 1991, 441-450.
32. F. Mokhtarian and A. K. Mackworth, A theory of multi-scale, curvature-based shape representation for planar curves, IEEE Trans. Pattern Anal. Mach. Intell. 14, 1992, 789-805.
33. J. T. Schwartz and M. Sharir, Identification of partially obscured objects in two and three dimensions by matching noisy characteristics curves, Int. J. Robotics Res. 6(2), 1987, 29-44.
34. F. Stein and G. Medioni, Structural indexing: Efficient 2-D object recognition, IEEE Trans. Pattern Anal. Mach. Intell. 14(12), 1992, 1198-1204.
35. G. C. Stockman, Object recognition, in Analysis and Interpretation of Range Images (R. C. Jain and A. K. Jain, Eds.), pp. 225-253, Springer-Verlag, New York/Berlin, 1990.
36. S. Sullivan, L. Sandford, and J. Ponce, On using geometric distance fits to estimate 3D object shape, pose, and deformation from range, CT, and video images, in Proceedings IEEE Conf. on Computer Vision and Pattern Recognition, New York, June 1993, pp. 110-115.
37. M. D. Wheeler and K. Ikeuchi, Sensor modeling, probabilistic hypothesis generation, and robust localization for object recognition, IEEE Trans. Pattern Anal. Mach. Intell. 17(3), 1995, 252-265.
38. J. H. Yi and D. Chelberg, Rapid object recognition from a large model database, in Proceedings IEEE 2nd CAD-Based Vision Workshop, Champion, PA, 1994, pp. 28-35.