3D part segmentation using simulated electrical charge distributions

Proceedings - International Conference on Pattern Recognition

Volumn 1, Issue , 1996, Pages 14-18

  Wu, Kenong ^a   Levine, Martin D ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

PATTERN RECOGNITION;

3-D PART SEGMENTATION; 3D OBJECT; BOUNDARY POINTS; CHARGE DENSITY DISTRIBUTIONS; RANGE DATA; TRIANGULAR MESHES;

THREE DIMENSIONAL;

EID: 74549171679     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.1996.545983     Document Type: Conference Paper

References (19)

1. R. Barrett, M. Berry, T. F. Chan, et al. Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods. SIAM, Philadelphia, 1994.
2. I. Biederman. Human image understanding: Recent research and a theory. Computer Vision, Graphics, and Image Processing, 32:29-73, 1985.
3. F. J. Bueche. Introduction to Physics for Scientists and Engineers. McGraw-Hill Book Company, New York, 3rd edition, 1980.
4. F. P. Ferrie, J. Lagarde, and P. Whaite. Darboux frames, snakes and superquadrics: Geometry from the bottom up. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(8):771-784, August 1993.
5. F. P. Ferrie and M. D. Levine. Deriving coarse 3D models of objects. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pages 345-353, Ann Arbor, Michigan, June 1988.
6. H. Freeman. Shape descriptions via the use of critical points. Pattern Recognition, 10(3):159-166, 1978.
7. A. Gupta and R. Bajcsy. Volumetric segmentation of range images of 3D objects using superquadric models. CVGIP: Image Understanding, 58(3):302-326, November 1993.
8. D. Hoffman and W. Richards. Parts of recognition. Cognition, 18:65-96, 1984.
9. T. Horikoshi and S. Suzuki. 3D parts decomposition from sparse range data using information criterion. In Proceedings of 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 168-173, New York City, NY, June 1993. IEEE Computer Society Press.
10. J. J. Koenderink and A. J. Van Doom. The shape of smooth objects and the way contours end. Perception, 11:129-137, 1982.
11. A. Lejeune and F. Ferrie. Partioning range images using curvature and scale. In Proceedings of 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 800-801, New York City, NY, June 1993. IEEE Computer Society Press.
12. A. P. Pentland. Recognition by parts. In Proceedings of the First International Conference on Computer Vision, pages 8-11, London, June 1987.
13. H. Rom and G. Medioni. Part decomposition and description of 3D shapes. In Proceedings of the 12th International Conference on Pattern Recognition, volume I, pages 629-632, Jerusalem, Israel, October 1994. IEEE computer Society, IEEE Computer Society Press.
14. P. P. Silvester and R. L. Ferrari. Finite Elements for Electrical Engineering. Cambridge University Press, Cambridge, 2nd edition, 1990.
15. F. Solina, A. Leonardis, and A. Maceri. A direct part-level segmentation of range images using volumetric models. In Proceedings of 1994 IEEE International Conference on Robotics and Automation, pages 22542259, San Diego, CA, May 1994. IEEE Robotics and Automation Society, IEEE Computer Society Press.
16. E. Trucco and R. B. Fisher. Experiments in curvature-based segmentation of range data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(2):177-181, February 1995.
17. D. Wilton, S. M. Rao, A. W. Glisson, et al. Potential integrals for uniform and linear source distributions on polygonal and polyhedral domains. IEEE Transactions on Antennas and Propagation, AP-32(3):276-281, 1984.
18. K. Wu. Computing Parametric Geon Descriptions of 3D Multi-Part Objects. PhD thesis, McGill University, Montreal, Canada, April 1996.
19. K. Wu and M. D. Levine. Recovering parametric geons from multi-view range data. In Proceedings of IEEE Conference on Computer Vision & Pattern Recognition, pages 159-166, Seattle, June 1994.