A Hierarchical Markov Modeling Approach for the Segmentation and Tracking of Deformable Shapes
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[1] Alex Pentland,et al. Closed-form solutions for physically-based shape modeling and recognition , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[2] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[3] Sridhar Lakshmanan,et al. Simultaneous Parameter Estimation and Segmentation of Gibbs Random Fields Using Simulated Annealing , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Erkki Oja,et al. Subspace methods of pattern recognition , 1983 .
[5] ISAAC COHEN,et al. Using deformable surfaces to segment 3-D images and infer differential structures , 1992, CVGIP Image Underst..
[6] Yiannis Aloimonos,et al. Active vision , 2004, International Journal of Computer Vision.
[7] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Alex Pentland,et al. Shape analysis of brain structures using physical and experimental modes , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[9] Ali Mohammad-Djafari,et al. On the estimation of hyperparameters in Bayesian approach of solving inverse problems , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[10] Patrick Pérez,et al. Restriction of a Markov random field on a graph and multiresolution statistical image modeling , 1996, IEEE Trans. Inf. Theory.
[11] Christopher J. Taylor,et al. Model-based image interpretation using genetic algorithms , 1992, Image Vis. Comput..
[12] Nicholas Ayache,et al. Fast segmentation, tracking, and analysis of deformable objects , 1993, 1993 (4th) International Conference on Computer Vision.
[13] Guy Demoment,et al. Image reconstruction and restoration: overview of common estimation structures and problems , 1989, IEEE Trans. Acoust. Speech Signal Process..
[14] Alex Pentland,et al. Recovery of Nonrigid Motion and Structure , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[15] Michael Isard,et al. Learning to Track the Visual Motion of Contours , 1995, Artif. Intell..
[16] David C. Hogg,et al. Learning Flexible Models from Image Sequences , 1994, ECCV.
[17] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[18] Charles Kervrann,et al. Robust tracking of stochastic deformable models in long image sequences , 1994, Proceedings of 1st International Conference on Image Processing.
[19] D. Adam,et al. Automatic ventricular cavity boundary detection from sequential ultrasound images using simulated annealing. , 1989, IEEE transactions on medical imaging.
[20] D. Hinkley. Inference about the change-point from cumulative sum tests , 1971 .
[21] Charles Kervrann,et al. Statistical model-based segmentation of deformable motion , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[22] MARIETTE MAURIZOT,et al. 891 LOCATING SINGULAR POINTS AND CHARACTERIZING DEFORMABLE FLOW FIELDS IN AN IMAGE SEQUENCE , 1994 .
[23] Andrew Blake,et al. Dynamic contours: real-time active splines , 1993 .
[24] Timothy F. Cootes,et al. The Use of Active Shape Models for Locating Structures in Medical Images , 1993, IPMI.
[25] Richard Szeliski,et al. Tracking with Kalman snakes , 1993 .
[26] Thomas S. Huang,et al. Image processing , 1971 .
[27] Rachid Deriche,et al. Tracking complex primitives in an image sequence , 1994, Proceedings of 12th International Conference on Pattern Recognition.
[28] Dana H. Ballard,et al. Computer Vision , 1982 .
[29] D. M. Keenan,et al. Towards automated image understanding , 1989 .
[30] C.-C. Jay Kuo,et al. Wavelet descriptor of planar curves: theory and applications , 1996, IEEE Trans. Image Process..
[31] Don R. Hush,et al. Change detection for target detection and classification in video sequences , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.
[32] J. Besag. On the Statistical Analysis of Dirty Pictures , 1986 .
[33] James S. Duncan,et al. Boundary Finding with Parametrically Deformable Models , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[34] Dimitris N. Metaxas,et al. Dynamic 3D models with local and global deformations: deformable superquadrics , 1990, [1990] Proceedings Third International Conference on Computer Vision.
[35] Patrick Bouthemy,et al. Modeling of Atmospheric Disturbances in Meteorological Pictures , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] U. Grenander,et al. Structural Image Restoration through Deformable Templates , 1991 .
[37] Alex Pentland,et al. Recursive estimation of structure and motion using relative orientation constraints , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[38] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[39] Rachid Deriche,et al. Tracking line segments , 1990, Image Vis. Comput..
[40] Stephen J. Riederer,et al. Medical imaging [6] , 1995 .
[41] Alex Pentland,et al. Recovery of non-rigid motion and structure , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[42] Charles Kervrann,et al. A hierarchical statistical framework for the segmentation of deformable objects in image sequences , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[43] Demetri Terzopoulos,et al. Topologically adaptable snakes , 1995, Proceedings of IEEE International Conference on Computer Vision.
[44] Karl Rohr,et al. Incremental recognition of pedestrians from image sequences , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[45] Thomas S. Huang,et al. Salient structure analysis of fluid flow , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[46] Charles Kervrann,et al. A Markov random field model-based approach to unsupervised texture segmentation using local and global spatial statistics , 1995, IEEE Trans. Image Process..
[47] Ulf Grenander,et al. Hands: A Pattern Theoretic Study of Biological Shapes , 1990 .
[48] Patrick Bouthemy,et al. Multimodal Estimation of Discontinuous Optical Flow using Markov Random Fields , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[49] Baba C. Vemuri,et al. Shape Modeling with Front Propagation: A Level Set Approach , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[50] Kanti V. Mardia,et al. Deformable templates in image sequences , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.
[51] Patrick Bouthemy,et al. Region-Based Tracking Using Affine Motion Models in Long Image Sequences , 1994 .
[52] Hiroshi Murase,et al. Learning and recognition of 3D objects from appearance , 1993, [1993] Proceedings IEEE Workshop on Qualitative Vision.
[53] Timothy F. Cootes,et al. Use of active shape models for locating structures in medical images , 1994, Image Vis. Comput..
[54] Roland T. Chin,et al. Deformable contours: modeling and extraction , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.