Hierarchical decomposition and axial shape description

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 1992-June, Issue , 1992, Pages 49-55

  Rom, H ^a   Medioni, G ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING; PATTERN RECOGNITION; SOFTWARE ENGINEERING;

COMPUTATIONALLY EFFICIENT; CONTOUR INFORMATION; GLOBAL INFORMATIONS; HIERARCHICAL DECOMPOSITIONS; LOCAL SYMMETRY; PLANAR CURVES; PLANAR SHAPE; SHAPE DESCRIPTION;

COMPUTER VISION;

EID: 85065863039     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.1992.223228     Document Type: Conference Paper

References (22)

1. I. Biederman. Recognition by components. Psychological Review, 94:115-147, 1987.
2. T. O. Binford. Visual perception by computer. In IEEE Conference on Systems and Controls, Miami, FL, 1971.
3. H. Blum. A Transformation for Extracting New Descriptors of Shape. MIT Press, Cambridge, MA, 1967.
4. M. Brady and H. Asada. Smoothed local symmetries and their implementation. The International Journal of Robotics Research, 3(3):36-61, 1984.
5. R. A. Brooks. Symbolic reasoning among 3-D models and 2-D images. Artificial Intelligence, 17:285-348, 1981.
6. J. H. Connell and M. Brady. Generating and generalizing models of visual objects. Artificial Intelligence, 31(2):159-183, 1987.
7. V. Guilleminand A. Pollack. Differential Topology. Prentice Hall, 1974.
8. D. D. Hoffman. Representing Shapes for Visual Recognition. PhD thesis, Massachusetts Institute of Technology, May 1983.
9. D. D. Hoffman and W. A. Richards. Parts of recognition. Cognition, 18:65-96, 1985.
10. B. B. Kimia, A. Tannenbaum, and S. W. Zucker. Toward a computational theory of shape: An overview. In Proceedings of European Conference on Computer Vision, pages 402-407, Antibes, France, 1990.
11. M. Leyton. Symmetry-Curvature duality. Computer Vision, Graphics and Image Processing, 38:327-341, 1987.
12. M. Leyton. A process-grammar for shape. Artificial Intelligence, 34:213-247, 1988.
13. D. Marr. Vision. W. H. Freeman and Co., San-Fransisco, CA, 1982.
14. D. Marr and K. Nishihara. Representation and recognition of the spatial organization of three-dimensional shapes. Proceedings of the Royal Society of London, B(200):269-294, 1977.
15. R. Nevatia. Machine Perception. Prentice Hall, 1982.
16. J. Ponce. On characterizing ribbons and finding skewed symmetries. Computer Vision, Graphics and Image Processing, 52:328-340, 1990.
17. K. Rao. Shape Description from Sparse and Imperfect Data. PhD thesis, University of Southern California, 1988. IRIS Technical Report 250.
18. W. A. Richards and D. D. Hoffman. Codon constraints on closed 2D shapes. Computer Vision, Graphics and Image Processing, 31:265-281, 1985.
19. H. Rom and G. Medioni. Hierarchical decomposition and axial shape description. Technical report, University of Southern California, Los Angeles, California, 1992. (Also to appear in PAMI).
20. A. Rosenfeld. Axial representations of shape. Computer Vision, Graphics and Image Processing, 33:156-173, 1986.
21. P. Saint-Marc and G. Medioni. B-spline contour representation and symmetry detection. In Proceedings of European Conference on Computer Vision, pages 604-606, Antibes, France, 1990.
22. F. Ulupinar and R. Nevatia. Inferring shape from contour for curved surfaces. In Proceedings of International Conference on Pattern Recognition, pages 147-154, Atlantic City, NJ, 1990.