-
2
-
-
33646584465
-
-
X. Bresson, P. Vandergheynst, and J.-P. Thiran. A variational model for object segmentation using boundary information and shape prior driven by the MumfordShah functional. International Journal of Computer Vision, 28(2):145-162, July 2006. 2, 4, 5
-
X. Bresson, P. Vandergheynst, and J.-P. Thiran. A variational model for object segmentation using boundary information and shape prior driven by the MumfordShah functional. International Journal of Computer Vision, 28(2):145-162, July 2006. 2, 4, 5
-
-
-
-
3
-
-
0029215137
-
Geodesic active contours
-
Boston, USA
-
V. Caselles, R. Kimmel, and G. Sapiro. Geodesic active contours. In Proc. IEEE Intl. Conf. on Comp. Vis., pages 694-699, Boston, USA, 1995. 1
-
(1995)
Proc. IEEE Intl. Conf. on Comp. Vis
-
-
Caselles, V.1
Kimmel, R.2
Sapiro, G.3
-
4
-
-
0035248865
-
-
T. Chan and L. Vese. Active contours without edges. IEEE Transactions on Image Processing, 10(2):266-277, 2001. 3, 5
-
T. Chan and L. Vese. Active contours without edges. IEEE Transactions on Image Processing, 10(2):266-277, 2001. 3, 5
-
-
-
-
5
-
-
0036892488
-
-
Y. Chen, H. Tagare, S. Thiruvenkadam, F. Huang, D. Wilson, K. Gopinath, R. Briggs, and E. Geiser. Using prior shapes in geometric active contours in a variational framework. International Journal of Computer Vision, 50(3):315-328, 2002. 2
-
Y. Chen, H. Tagare, S. Thiruvenkadam, F. Huang, D. Wilson, K. Gopinath, R. Briggs, and E. Geiser. Using prior shapes in geometric active contours in a variational framework. International Journal of Computer Vision, 50(3):315-328, 2002. 2
-
-
-
-
7
-
-
33646575630
-
Dynamical statistical shape priors for level set based tracking
-
S. LNCS, editor
-
D. Cremers and G. Funka-Lea. Dynamical statistical shape priors for level set based tracking. In S. LNCS, editor, 3rd. Workshop on Variational, Geometric and Level Set Methods in Computer Vision, volume 3752, pages 210-221, 2005. 2
-
(2005)
3rd. Workshop on Variational, Geometric and Level Set Methods in Computer Vision
, vol.3752
-
-
Cremers, D.1
Funka-Lea, G.2
-
8
-
-
35048854708
-
Kernel density estimation and intrinsic alignment for knowledge-driven segmentation: Teaching level sets to walk
-
D. Cremers, S. Osher, and S. Soatto. Kernel density estimation and intrinsic alignment for knowledge-driven segmentation: Teaching level sets to walk. Pattern Recognition, 3175:36-44, 2004. 2
-
(2004)
Pattern Recognition
, vol.3175
, Issue.36-44
, pp. 2
-
-
Cremers, D.1
Osher, S.2
Soatto, S.3
-
9
-
-
35048887548
-
Multiphase dynamic labeling for variational recognition-driven image segmentation
-
2, 3
-
D. Cremers, N. Sochen, and C. Schnör. Multiphase dynamic labeling for variational recognition-driven image segmentation. In European Conf. on Computer Vision, volume 3024, pages 74-86, 2004. 2, 3
-
(2004)
European Conf. on Computer Vision
, vol.3024
, pp. 74-86
-
-
Cremers, D.1
Sochen, N.2
Schnör, C.3
-
10
-
-
5044219562
-
Simultaneous object recognition and segmentation by image exploration
-
V. Ferrari, T. Tuytelaars, and L. V. Gool. Simultaneous object recognition and segmentation by image exploration. In ECCV, 2004. 2
-
(2004)
ECCV
, pp. 2
-
-
Ferrari, V.1
Tuytelaars, T.2
Gool, L.V.3
-
11
-
-
35148886005
-
A variational framework for the simultaneous segmentation and object behavior classification of image sequences
-
In press
-
L. Gui, J.-P. Thiran, and N. Paragios. A variational framework for the simultaneous segmentation and object behavior classification of image sequences. In Proc. Scale Space and Variational Methods in Computer Vision, 2007. In press. 1, 4
-
(2007)
Proc. Scale Space and Variational Methods in Computer Vision
, vol.1
, pp. 4
-
-
Gui, L.1
Thiran, J.-P.2
Paragios, N.3
-
12
-
-
34250090755
-
Snakes: Active contour models
-
1
-
M. Kass, A. Witkin, and D. Terzopoulos. Snakes: Active contour models. International Journal of Computer Vision, 1:321-331, 1987. 1, 2
-
(1987)
International Journal of Computer Vision
, vol.321-331
, Issue.1
, pp. 2
-
-
Kass, M.1
Witkin, A.2
Terzopoulos, D.3
-
13
-
-
33745950871
-
-
I. Kokkinos and P. Maragos. An Expectation Maximization approach to the synergy between image segmentation and object categorization. In ICCV, pages 617-624, 2005. 2
-
I. Kokkinos and P. Maragos. An Expectation Maximization approach to the synergy between image segmentation and object categorization. In ICCV, pages 617-624, 2005. 2
-
-
-
-
14
-
-
33646014576
-
Combined object categorization and segmentation with an implicit shape model
-
B. Leibe, A. Leonardis, and B. Schiele. Combined object categorization and segmentation with an implicit shape model. In ECCV Workshop on SLCV, 2004. 2
-
(2004)
ECCV Workshop on SLCV
, pp. 2
-
-
Leibe, B.1
Leonardis, A.2
Schiele, B.3
-
16
-
-
84990602490
-
Optimal approximations by piecewise smooth functions and associated variational problems
-
D. Mumford and J.Shah. Optimal approximations by piecewise smooth functions and associated variational problems. Communications in Pure and Applied Mathematics, 42:577-685, 1989. 1
-
(1989)
Communications in Pure and Applied Mathematics
, vol.42
, Issue.577-685
, pp. 1
-
-
Mumford, D.1
Shah, J.2
-
17
-
-
44749084234
-
Fronts propagating with curvature-dependent speed: Algorithms based on the Hamilton-Jacobi formulation
-
79
-
S. Osher and J. Sethian. Fronts propagating with curvature-dependent speed: Algorithms based on the Hamilton-Jacobi formulation. Journal of Computational Physics, 79:12-49, 1988. 1, 4
-
(1988)
Journal of Computational Physics
, vol.12-49
, Issue.1
, pp. 4
-
-
Osher, S.1
Sethian, J.2
-
18
-
-
0036474209
-
Geodesic active regions and level set methods for supervised texture segmentation
-
463
-
N. Paragios and R. Deriche. Geodesic active regions and level set methods for supervised texture segmentation. International Journal of Computer Vision, 46(3):223-247, 2002. 1
-
(2002)
International Journal of Computer Vision
, vol.223-247
, pp. 1
-
-
Paragios, N.1
Deriche, R.2
-
19
-
-
9644294262
-
Geodesic active regions and level set methods for motion estimation and tracking
-
N. Paragios and R. Deriche. Geodesic active regions and level set methods for motion estimation and tracking. Computer Vision and Image Understanding, 97:259-282, 2005. 2
-
(2005)
Computer Vision and Image Understanding
, vol.97
, Issue.259-282
, pp. 2
-
-
Paragios, N.1
Deriche, R.2
-
21
-
-
0024610919
-
-
L. R. Rabiner. A tutorial on Hidden Markov Models and selected applications in speech recognition. Proceedings of the IEEE, 77(2), 1989. 2, 3, 6
-
L. R. Rabiner. A tutorial on Hidden Markov Models and selected applications in speech recognition. Proceedings of the IEEE, 77(2), 1989. 2, 3, 6
-
-
-
-
22
-
-
24644477136
-
Particle filtering for geometric active contours with application to tracking moving and deforming objects
-
Y. Rathi, N. Vaswani, A. Tannenbaum, and A. Yezzi. Particle filtering for geometric active contours with application to tracking moving and deforming objects. In Proc. CVPR, volume 2, pages 2-9, 2005. 2
-
(2005)
Proc. CVPR
, vol.2
-
-
Rathi, Y.1
Vaswani, N.2
Tannenbaum, A.3
Yezzi, A.4
-
23
-
-
35148896650
-
-
D. Terzopoulos and R. Szeliski. Tracking with Kalman snakes. Active vision, pages 3-20, 1993. 2
-
D. Terzopoulos and R. Szeliski. Tracking with Kalman snakes. Active vision, pages 3-20, 1993. 2
-
-
-
-
24
-
-
0344120328
-
-
Z. Tu, X. Chen, A. Yuille, and S. Zhu. Image parsing: Segmentation, detection, and recognition. In ICCV, pages 18-25, 2003. 2
-
Z. Tu, X. Chen, A. Yuille, and S. Zhu. Image parsing: Segmentation, detection, and recognition. In ICCV, pages 18-25, 2003. 2
-
-
-
-
25
-
-
0036891794
-
A multiphase level set framework for image segmentation using the Mumford and Shah model
-
503
-
L. Vese and T. Chan. A multiphase level set framework for image segmentation using the Mumford and Shah model. International Journal of Computer Vision, 50(3):271-293, 2002. 1
-
(2002)
International Journal of Computer Vision
, vol.271-293
, pp. 1
-
-
Vese, L.1
Chan, T.2
|