Unlevel-sets: Geometry and prior-based segmentation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3024, Issue , 2004, Pages 50-61

  Riklin Raviv, Tammy ^a   Kiryati, Nahum ^a   Sochen, Nir ^a  

^a TEL AVIV UNIVERSITY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION;

PERSPECTIVE DISTORTION; POINT CORRESPONDENCE; PROJECTIVE TRANSFORMATION; SEGMENTATION PROCESS; SEGMENTATION RESULTS; TOP-DOWN IMAGE SEGMENTATIONS; TRANSFORMATION PARAMETERS; VARIATIONAL APPROACHES;

IMAGE SEGMENTATION;

EID: 35048876716     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24673-2_5     Document Type: Article

References (20)

1. G. Aubert and P. Kornprobst. Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus of Variations. Springer, 2002.
2. T.O. Binford. Visual perception by computer. In Proc. IEEE Conf. Systems and Control, December 1971.
3. T.F. Chan and L.A. Vese. Active contours without edges. IEEE Trans. Image Processing, 10(2):266-277, February 2001.
4. Y. Chen, S. Thiruvenkadam, H.D. Tagare, F. Huang, and D. Wilson. On the incorporation of shape priors into geometric active contours. In VLSM01, pages 145-152, 2001.
5. D. Cremers, T. Kohlberger, and C. Schnorr. Nonlinear shape statistics via kernel spaces. In DAGM01, pages 269-276, 2001.
6. D. Cremers, T. Kohlberger, and C. Schnorr. Nonlinear shape statistics in mumfordshah based segmentation. In ECCV02, volume II, pages 93-108, 2002.
7. D. Cremers, N. Sochen, and C. Schnorr. Towards recognition-based variational segmentation using shape priors and dynamic labeling. In Intl. Conf. on ScaleSpace Theories in Computer Vision, pages 388-400, June 2003.
8. O. Faugeras. Three-Dimensional Computer Vision: A Geometric Viewpoint. MIT Press, 1993.
9. O. Faugeras, Q.T. Luong, and T. Papadopoulo. The Geometry of Multiple Images. MIT Press, 2001.
10. D.A. Forsyth and J. Ponce. Computer Vision: A Modern Approach. Prentice Hall, 2003.
11. R. I. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, 2000.
12. M. Irani and P. Anandan. All about direct methods. In W. Triggs, A. Zisserman, and R. Szeliski, editors, Vision Algorithms: Theory and Practice. Springer-Verlag, 1999.
13. M. Leventon, O. Faugeraus, W. Crimson, and W. Wells III. Level set based segmentation with intensity and curvature priors. In Workshop on Mathematical Methods in Biomedical Image Analysis Proceedings, pages 4-11, June 2000.
14. M.E. Leventon, W.E.L. Grimson, and O. Faugeras. Statistical shape influence in geodesic active contours. In CVPR00, volume I, pages 316-323, 2000.
15. D. Marr. Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. W.H. Freeman, 1982.
16. D. Mumford and J. Shah. Optimal approximations by piecewise smooth functions and associated variational problems. Communications on Pure and Applied Mathematics, 42:577-684, 1989.
17. S. Osher and J.A. Sethian. Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations. Journal of Computational Physics, 79:12-49, 1988.
18. K.G. Rao and C. Medioni. Generalized cones: Useful geometric properties. In CVIP92, pages 185-208, 1992.
19. A. Tsai, A. Yezzi, Jr., W.M. Wells, III, C. Tempany, D. Tucker, A. Fan, W.E.L. Grimson, and A.S. Willsky. Model-based curve evolution technique for image segmentation. In CVPR01, volume I, pages 463-468, 2001.
20. S. Ullman. High-Level Vision: Object Recognition and Visual Cognition. MIT Press, 1996.