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References
- 1
-
A. Amini, T. Weymouth, and R. Jain.
Using dynamic programming for solving variational problems in vision.
IEEE Trans. Pattern Anal. and Machine Intell., 12(9):8555--867,
1990.
- 2
-
Y. Amit, U. Grenander, and M. Piccioni.
Structural image restoration through deformable template.
J. American Statistical Association, 86(414):376--387, June
1991.
- 3
-
V. Caselles, R. Kimmel, and G. Sapiro.
Geodesic active contours.
In Proc. 5th IEEE Int. Conf. on Computer Vision (ICCV),
Cambridge, Massachusetts, pages 694--699, 1995.
- 4
-
A. Chakraborty, L. H. Staib, and J. S. Duncan.
Deformable boundary finding influenced by region homogeneity.
Proc. IEEE Conf. on Computer Vision and Pattern Recognition
(CVPR), pages 624--627, Seattle, WA, June 1994.
- 5
-
Y. S. Chow, U. Grenander, and D. M. Keenan.
HANDS. A Pattern-theoretic Study of Biological Shapes.
New York, Springer-Verlag, 1991.
- 6
-
G. E. Christensen, R. D. Rabbitt, and M. I. Miller.
Deformable templates using large deformation kinematics.
IEEE Trans. Image Processing, 5(10):1435--1447, 1996.
- 7
-
C.H. Chuang and C.C.J. Kuo.
A wavelet descriptor of planar curves: theory and applications.
IEEE Trans. Image Processing, 5(1):56--70, 1996.
- 8
-
L. Cohen.
Note on active contour models and balloons.
CVGIP: Image Understanding, 53(2):211--218, March 1991.
- 9
-
L. D. Cohen and I. Cohen.
Finite-element methods for active contour models and balloons for
2-D and 3-D images.
IEEE Trans. Pattern Anal. and Machine Intell.,
15(11):1131--1147, November 1993.
- 10
-
T. F. Cootes, A. Hill, C. J. Taylor, and J. Haslam.
Use of active shape models for locating structures in medical images.
Image & Vision Computing, 12(6):355--366, 1994.
- 11
-
T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham.
Active shape models - Their training and application.
Computer Vision and Image Understanding, 61(1):38--59, January
1995.
- 12
-
T. F. Cootes, C. J. Taylor, and A. Lanitis.
Active shape models: Evaluation of a multi-resolution method for
improving image search.
Proc. British Machine Vision Conference, pages 327--336, 1994.
- 13
-
M. Figueiredo, J. Leitao, and A. K. Jain.
Adaptive B-splines and boundary estimation.
In Proc. IEEE Conf. Comp. Vision Pattern Recognition '97
(CVPR), pages 724--730, San Juan, 1997.
- 14
-
M. Flickner, H. Sawhney, D. Pryor, and J. Lotspiech.
Intelligent interactive image outlining using spline snakes.
In Asilomar Conf. Signals, Systems, and Computers, volume 1,
pages 731--735, 1994.
- 15
-
P. Fua and C. Brechbuhler.
Imposing hard constraints on soft snakes.
In Proc. European Conf. Computer Vision'96, pages II:495--506,
1996.
- 16
-
D. Geiger, A. Gupta, L. Costa, and J. Vlontzos.
Dynamic programming for detecting, tracking, and matching deformable
contours.
IEEE Trans. Pattern Anal. and Machine Intell., 17(3):294--302,
March 1993.
- 17
-
U. Grenander.
Pattern Synthesis: Lectures in Pattern Theory, volume 18 of
Applied Mathematical Sciences.
Springer-Verlag, 1976.
- 18
-
U. Grenander and D. M. Keenan.
Towards automated image understanding.
In K. V. Mardia and G. K. Kanji, editors, Advances in Applied
Statistics: Statistics and Images (1), chapter 6, pages 89--103. Carfax
Publishing Company, 1993.
- 19
-
U. Grenander and M. I. Miller.
Representation of knowledge in complex systems.
J. of Royal Statistical Society (B), 56(3):1--33, 1994.
- 20
-
A. K. Jain, Y. Zhong, and S. Lakshmanan.
Object matching using deformable templates.
IEEE Trans. Pattern Anal. and Machine Intell., 18(3):267--278,
March 1996.
- 21
-
M. Kass, A. Witkin, and D. Terzopoulos.
Snakes: Active contour models.
Int. J. Comput. Vision, 1(4):321--331, 1988.
- 22
-
C. Kervrann and F. Heitz.
A hierarchical statistical framework for the segmentation of
deformable objects in image sequences.
Proc. IEEE Conf. on Computer Vision and Pattern Recognition
(CVPR), pages 724--728, Seattle, WA, June 1994.
- 23
-
K.F. Lai and R.T. Chin.
Deformable contours: modeling and extraction.
IEEE Trans. Pattern Anal. and Machine Intell.,
17(11):1084--1090, November 1995.
- 24
-
S. Lakshmanan, A. K. Jain, and Y. Zhong.
Detecting straight edges in millimeter wave images.
Proc. IEEE International Conference on Image Processing, pages
258--261, Washington, DC, October 1995.
- 25
-
F. Leymarie and M. Levine.
Tracking deformable objects in the plane using an active contour
model.
IEEE Trans. Pattern Anal. and Machine Intell., 15(6):617--634,
June 1993.
- 26
-
R. Malladi, J. Sethian, and B. Vemuri.
Shape modeling with front propagation: a level set approach.
IEEE Trans. Pattern Anal. and Machine Intell., 17(2):158--175,
February 1995.
- 27
-
K.V. Mardia.
Recent advances in shape statistics and image analysis.
Proc. 2nd Asian Conf. on Computer Vision, pages 174--178,
Singapore, Dec. 1995.
- 28
-
M. I. Miller, G. E. Christensen, Y. Amit, and U. Grenander.
Mathematical textbook of deformable neuroanatomies.
Proc. Natl. Acad. Sci. USA, 90:11944--11948, December 1993.
- 29
-
W. Neuenschwander, P. Fua, G. Szekely, and O. Kubler.
Making snakes converge from minimal initialization.
In Proc. 11th Int. Conf. on Pattern Recognition (ICPR), pages
A:613--615, Jerusalem, Israel, 1994.
- 30
-
A. Pentland.
Automatic extraction of deformable part models.
Int. J. Comput. Vision, 13(2):107--126, 1990.
- 31
-
A. Pentland and S. Sclaroff.
Close-form solutions for physically based modeling and recognition.
IEEE Trans. Pattern Anal. and Machine Intell., 13(7):703--714,
1991.
- 32
-
R. Ronfard.
Region-based strategies for active contour models.
Int. J. Comput. Vision, 13(2):229--251, October 1994.
- 33
-
P. Saint-Marc, H. Rom, and G. Medioni.
B-spline contour representation and symmetry detection.
IEEE Trans. Pattern Anal. and Machine Intell.,
15(11):1191--1197, 1993.
- 34
-
S. Sclaroff and A. Pentland.
Modal matching for correspondence and recognition.
IEEE Trans. Pattern Anal. and Machine Intell., 17(6):545--561,
June 1995.
- 35
-
L. H. Staib and J. S. Duncan.
Boundary finding with parametrically deformable models.
IEEE Trans. Pattern Anal. and Machine Intell.,
14(11):1061--1075, November 1992.
- 36
-
G. Storvik.
A Bayesian approach to dynamic contours through stochastic sampling
and simulated annealing.
IEEE Trans. Pattern Anal. and Machine Intell., 16(10):976--986,
October 1994.
- 37
-
R. Szeliski and J. Coughlan.
Hierarchical spline-based registration.
Proc. IEEE Conf. on Computer Vision and Pattern Recognition
(CVPR), pages 194--201, Seattle, WA, June 1994.
- 38
-
D. Terzopolous, J. Platt, A. Barr, and K. Fleischer.
Elastically deformable models.
Comput. Graphic, 21(4):205--214, 1987.
- 39
-
D. Terzopolous and R. Szeliski.
Tracking with Kalman snakes.
In A. Blake and A. Yuille, editors, Active vision, chapter 1,
pages 1--19. Cambridge, Mass.: MIT Press, 1992.
- 40
-
D. Terzopolous, A. Witkin, and M. Kass.
Constraints on deformable models: Recovering 3D shape and
nonrigid motion.
Artificial Intelligence, (36):91--123, 1988.
- 41
-
A. Vailaya, Y. Zhong, and A. K. Jain.
A hierarchical system for efficient image retrieval.
In Proc. 13th Int. Conf. on Pattern Recognition (ICPR), pages
356--360, Vienna, Austria, 1996.
- 42
-
B. Widrow.
The rubber mask technique, Parts I and II.
Pattern Recognition, 5:175--211, 1973.
- 43
-
A. Witkin, D. Terzopoulos, and M. Kass.
Signal matching through scale space.
Int. J. Comput. Vision, 1(2):133--144, 1987.
- 44
-
G. Xu, E. Segawa, and S. Tsuji.
Robust active contours with insensitive parameters.
Pattern Recognition, 27(7):879--884, 1994.
- 45
-
A. L. Yuille, P. W. Hallinan, and D. S. Cohen.
Feature extraction from faces using deformable templates.
Int. J. Comput. Vision, 8(2):133--144, 1992.
- 46
-
Y. Zhong.
Object Matching Using Deformable Templates.
PhD thesis, Department of Computer Science, Michigan State
University, 1997.
- 47
-
Y. Zhong and A. K. Jain.
Object localization using color, texture and shape.
In Proc. Workshop on Energy Minimization Methods in Computer
Vision and Pattern Recognition, pages 279--294, Venice, May 1997.
- 48
-
S. C. Zhu, T. S. Lee, and A. L. Yuille.
Region competition: unifying snakes, region growing,
energy/Bayes/MDL for Multi-band image segmentation.
In Proc. 5th IEEE Inter. Conf. on Computer Vision (ICCV),
Cambridge, MA, pages 416--423, 1995.
Bob Fisher
Wed May 5 18:16:24 BST 1999