Non-euclidean image-adaptive radial basis functions for 3D interactive segmentation

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2009, Pages 787-794

  Mory, Benoit ^a   Ardon, Roberto ^a   Yezzi, Anthony J ^b   Thiran, Jean Philippe ^c  

^a PHILIPS HEALTHCARE   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMIC ASPECTS; CONTROL POINT; EUCLIDEAN; EUCLIDEAN DISTANCE; IMAGE FEATURES; IMPLICIT FUNCTION; IMPLICIT SURFACE REPRESENTATION; INTERACTIVE SEGMENTATION; INTERACTIVE WORKFLOW; INTUITIVE CONTROLS; LINEAR COMBINATIONS; LINEAR INEQUALITY CONSTRAINTS; NON-EUCLIDEAN; NON-EUCLIDEAN DISTANCE; RADIAL BASIS FUNCTIONS; REGION-BASED; TARGET OBJECT;

COMPUTER VISION; CONSTRAINT THEORY; MEDICAL IMAGING; RADIAL BASIS FUNCTION NETWORKS; THREE DIMENSIONAL;

IMAGE SEGMENTATION;

EID: 77953213974     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2009.5459245     Document Type: Conference Paper

References (22)

1. X. Bai and G. Sapiro. A geodesic framework for fast interactive image and video segmentation and matting. In ICCV, pages 1-8, 2007.
2. O. Bernard, D. Friboulet, P. Thevenaz, and M. Unser. Variational b-spline level-set method for fast image segmentation. In ISBI, pages 177-180, May 2008.
3. Y. Boykov and V. Kolmogorov. Computing geodesics and minimal surfaces via graph cuts. In ICCV, volume 1, pages 26-33, October 2003.
4. T. Chan and L. Vese. Active contours without edges. IEEE Trans. on Im. Proc., 10(2):266-277, February 2001.
5. L. D. Cohen and R. Kimmel. Fast marching the global minimum of active contours. In ICIP, pages 473-476, 1996.
6. A. Criminisi, T. Sharp, and A. Blake. Geos: Geodesic image segmentation. In ECCV (1), pages 99-112, 2008.
7. Q. Dinh, G. Turk, and G. Slabaugh. Reconstructing surfaces using anisotropic basis functions. In ICCV, pages 606-613, 2001.
8. A. Gelas, O. Bernard, D. Friboulet, and R. Prost. Compactly supported radial basis functions based collocation method for level-set evolution in image segmentation. IEEE Trans. Image Processing, 16(7):1873-1887, 2007.
9. A. Hanson. Hyperquadrics: Smoothly deformable shapes with convex polyhedral bounds. Computer Vision, Graphics, and Image Processing, 44:191-210, 1994.
10. T. Kadir and M. Brady. Unsupervised non-parametric region segmentation using level sets. ICCV, 2:1267-1274, 2003.
11. M. Kass, A. Witkin, and D. Terzopoulos. Snakes: Active contour models. IJCV, 1(4):321-331, January 1988.
12. R. Malladi and J. A. Sethian. Level set and fast marching methods in image processing and computer vision. In ICIP, pages I: 489-492, 1996.
13. R. Malladi and J. A. Sethian. A real-time algorithm for medical shape recovery. In ICCV, pages 304-310, 1998.
14. B. Mory and R. Ardon. Variational segmentation using fuzzy region competition and local non-parametric probability density functions. In ICCV, 2007.
15. J. Nocedal and S. J. Wright. Numerical Optimization. Springer, August 1999.
16. S. Osher and J. Sethian. Fronts propagating with curvature dependent speed: algorithms based on the hamilton-jacobi formulation. 79:12-49, 1988.
17. C. Rother, V. Kolmogorov, and A. Blake. "grabcut": interactive fore-ground extraction using iterated graph cuts. ACM Trans. Graph., 23(3):309-314, 2004.
18. G. G. Slabaugh, Q. Dinh, and G. Unal. A variational approach to the evolution of radial basis functions for image segmentation. In CVPR, pages 1-8, 2007.
19. G. Taubin. An improved algorithm for algebraic curve and surface fitting. ICCV, pages 658-665, June 1993.
20. P. J. Toivanen. New geodesic distance transforms for gray-scale images. Patt. Recogn. Lett., 17(5):437-450, 1996.
21. H. Wendland. Scattered Data Approximation. Cambridge university press, 2005.
22. S. C. Zhu and A. Yuille. Region competition: Unifying snakes, region growing, and bayes/mdl for multiband image segmentation. IEEE PAMI, 18(9):884-900, Sept 1996.