Shape from symmetry

Proceedings of the IEEE International Conference on Computer Vision

Volumn II, Issue , 2005, Pages 1824-1833

  Thrun, Sebastian ^a   Wegbreit, Ben ^b  

^a STANFORD UNIVERSITY   (United States)

^b Stricter Labs   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

3 D RANGE IMAGES; 3 D SHAPE MODELS; REAL WORLD DATABASE; SHAPE SYMMETRIES;

COMPUTER VISION; DATABASE SYSTEMS; IMAGE SEGMENTATION; MATHEMATICAL MODELS; OBJECT RECOGNITION; THREE DIMENSIONAL COMPUTER GRAPHICS;

IMAGE RECONSTRUCTION;

EID: 33745905333     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2005.221     Document Type: Conference Paper

References (24)

1. P. Besl and N. McKay. A method for registration of 3d shapes. PAMI, 14(2):239-256, 1992.
2. A. Blake, M. Taylor, and A. Cox. Grasping visual symmetry. ICCV-93.
3. A. Criminisi, I. Reid, and A. Zisserman. Single view metrology. ICCV-99.
4. B. Horn and M. Brooks, editors. Shape From Shading. MIT Press, 1989.
5. A. E. Johnson and M. Hebert. Using spin images for efficient object recognition in cluttered 3d scenes. PAMI, 21(5):433-449, 1999.
6. T. Kanade. Recovery of the three-dimensional shape of an object from a single view. AI, 17(1-3):409-60, 1981.
7. M. Kazhdan, B. Chazelle, D.P. Dobkin, A. Finkelstein, and T.A. Funkhouser. A reffexive symmetry descriptor. ECCV02.
8. M. Kazhdan, T. Funkhouser, and S. Rusinkiewicz. Symmetry descriptors and 3d shape matching. In Eurographics Symposium on Geometry Processing, 2004.
9. Y. Liu, R. Collins, and W. Rothfus. Robust midsagittal plane extraction from normal and pathological 3d neuroradiology images. IEEE TMI, 20(3): 175-192, 2001.
10. H. Mitsumoto, S. Tamura, K. Okazaki, N. Kajimi, and Y. Fukui. 3-D reconstruction using mirror images based on a plane symmetry recovery method. PAMI, 14(9):941-946, 1992.
11. S. Nayar and S. Narasimhan. Vision in bad weather. ICCV-99.
12. T. Poggio and T. Vetter. Recognition and structure from one 2d model view: Observations on prototypes, object classes and symmetries. A.I. Memo No. 1347, MIT, 1992.
13. M. Pollefeys, R. Koch, and L. V. Gool. Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters. ICCV-98.
14. J. Rosen. Symmetry Discovered: Concepts and Applications in Nature and Science. Cambridge University Press, 1975.
15. S. Rusinkiewicz and M. Levoy. Efficient variants of the ICP algorithm. 3DIM-01.
16. D. Shen, H. H. Ip, K. K. Cheung, and E. K. Teoh. Symmetry detection by generalized complex (gc) moments: A closeform solution. PAMI, 21(5), 1999.
17. S. Soatto and R. Brockett. Optimal structure from motion: Local ambiguities and global estimates. CVPR-98.
18. C. Sun and J. Sherrah. 3d symmetry detection using the extended gaussian image. PAMI, 19(2): 164-169, 1997.
19. D. Terzopoulos, A. Witkin, and M. Kass. Symmetry-seeking models and 3D object reconstruction. Computer Vision, 1(3):211-221, 1987.
20. D. Terzopoulos, A. Witkin, and M. Kass. Constraints on deformable models: Recovering 3D shape and nonrigid motion. AI, 36:91-123, 1988.
21. H. Weyl. Symmetry. Princeton University Press, 1952.
22. H. Zabrodsky and D. Weinshall. Using bilateral symmetry to improve 3D reconstruction from image sequences. CVIU, 67(l):48-57, 1997.
23. R. Zabrodsky, S. Peleg, and D. Avnir. Symmetry as a continuous feature. PAMI, 17(12):1,154-1,166, 1995.
24. S. Zucker. Region growing: Childhood and adolescence. Comput. Graphics Image Processing, 5:382-399, 1976.