Non-rigid registration using distance functions

[1]  A. ROSENFELD,et al.  Distance functions on digital pictures , 1968, Pattern Recognit..

[2]  Martin A. Fischler,et al.  The Representation and Matching of Pictorial Structures , 1973, IEEE Transactions on Computers.

[3]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[4]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[5]  B. Silverman Density estimation for statistics and data analysis , 1986 .

[6]  J. Sethian,et al.  Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .

[7]  Ruzena Bajcsy,et al.  Multiresolution elastic matching , 1989, Comput. Vis. Graph. Image Process..

[8]  David J. Kriegman,et al.  On Recognizing and Positioning Curved 3-D Objects from Image Contours , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Richard Szeliski,et al.  Modeling surfaces of arbitrary topology with dynamic particles , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[11]  Jerry L. Prince,et al.  Brain image registration based on curve mapping , 1994, Proceedings of IEEE Workshop on Biomedical Image Analysis.

[12]  Nicholas Ayache,et al.  Locally affine registration of free-form surfaces , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[13]  Pascal Fua,et al.  Registration without correspondences , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[14]  S. Osher,et al.  A level set approach for computing solutions to incompressible two-phase flow , 1994 .

[15]  R. Malladi,et al.  A Unified Framework for Shape Segmentation, Representation, and Recognition , 1994 .

[16]  Guy Marchal,et al.  Automated multi-modality image registration based on information theory , 1995 .

[17]  James C. Gee,et al.  Probabilistic Matching of Brain Images , 1995 .

[18]  Richard Szeliski,et al.  Recovering the Position and Orientation of Free-Form Objects from Image Contours Using 3D Distance Maps , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[19]  J. Tsitsiklis Efficient algorithms for globally optimal trajectories , 1995, IEEE Trans. Autom. Control..

[20]  Timothy F. Cootes,et al.  Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..

[21]  Gary J. Balas,et al.  Optical flow: a curve evolution approach , 1996, IEEE Trans. Image Process..

[22]  Jean-Philippe Thirion,et al.  Non-rigid matching using demons , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[23]  Steven Gold,et al.  A Graduated Assignment Algorithm for Graph Matching , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[24]  Demetri Terzopoulos,et al.  Deformable models in medical image analysis: a survey , 1996, Medical Image Anal..

[25]  Jerry L. Prince,et al.  Image registration based on boundary mapping , 1996, IEEE Trans. Medical Imaging.

[26]  Cengizhan Ozturk,et al.  Multidimensional Alignment Using the Euclidean Distance Transform , 1997, CVGIP Graph. Model. Image Process..

[27]  Lawrence H. Staib,et al.  Elastic Model Based Non-rigid Registration Incorporation Statistical Shape Information , 1998, MICCAI.

[28]  Max A. Viergever,et al.  General multimodal elastic registration based on mutual information , 1998, Medical Imaging.

[29]  Max A. Viergever,et al.  Efficient and reliable schemes for nonlinear diffusion filtering , 1998, IEEE Trans. Image Process..

[30]  Max A. Viergever,et al.  A survey of medical image registration , 1998, Medical Image Anal..

[31]  Isabelle Herlin,et al.  Curves matching using geodesic paths , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[32]  Olivier D. Faugeras,et al.  Statistical shape influence in geodesic active contours , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[33]  Thomas O'Donnell,et al.  Multi-modality model-based registration in the cardiac domain , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[34]  Julian Mattes Invariants statistiques et structurels définis par l'arbre de confinement pour le recalage d'images et l'analyse du mouvement , 2000 .

[35]  Nicholas Ayache,et al.  Medical Image Analysis: Progress over Two Decades and the Challenges Ahead , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[36]  B. Vemuri,et al.  A level-set based approach to image registration , 2000, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis. MMBIA-2000 (Cat. No.PR00737).

[37]  Daniel P. Huttenlocher,et al.  Efficient matching of pictorial structures , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[38]  Anand Rangarajan,et al.  A new algorithm for non-rigid point matching , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[39]  Michael I. Miller,et al.  Landmark matching via large deformation diffeomorphisms , 2000, IEEE Trans. Image Process..

[40]  Jitendra Malik,et al.  Matching Shapes , 2001, ICCV.

[41]  Remco C. Veltkamp,et al.  State of the Art in Shape Matching , 2001, Principles of Visual Information Retrieval.

[42]  Anil K. Jain,et al.  Automatic Construction of 2D Shape Models , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[43]  O. Faugeras,et al.  A variational approach to multi-modal image matching , 2001, Proceedings IEEE Workshop on Variational and Level Set Methods in Computer Vision.

[44]  G. Sapiro,et al.  Geometric partial differential equations and image analysis [Book Reviews] , 2001, IEEE Transactions on Medical Imaging.

[45]  A. Yezzi,et al.  A variational framework for joint segmentation and registration , 2001, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 2001).

[46]  Olivier D. Faugeras,et al.  Dense image matching with global and local statistical criteria: a variational approach , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[47]  Stefano Soatto,et al.  Region Matching with Missing Parts , 2002, ECCV.

[48]  Nikos Paragios,et al.  Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration , 2002, ECCV.

[49]  S. Osher,et al.  Geometric Level Set Methods in Imaging, Vision, and Graphics , 2011, Springer New York.

[50]  Stanley Osher,et al.  Level Set Methods , 2003 .

[51]  Andrew W. Fitzgibbon Robust registration of 2D and 3D point sets , 2003, Image Vis. Comput..

[52]  Demetri Terzopoulos,et al.  Signal matching through scale space , 1986, International Journal of Computer Vision.

[53]  Nicholas Ayache,et al.  Rigid, affine and locally affine registration of free-form surfaces , 1996, International Journal of Computer Vision.

[54]  Ali Shokoufandeh,et al.  Shock Graphs and Shape Matching , 1998, International Journal of Computer Vision.

[55]  Richard Szeliski,et al.  Matching 3-D anatomical surfaces with non-rigid deformations using octree-splines , 1993, Proceedings of IEEE Workshop on Biomedical Image Analysis.

[56]  Guillermo Sapiro,et al.  Geodesic Active Contours , 1995, International Journal of Computer Vision.

[57]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[58]  Paul A. Viola,et al.  Alignment by Maximization of Mutual Information , 1997, International Journal of Computer Vision.

[59]  Alan L. Yuille,et al.  FORMS: A flexible object recognition and modelling system , 1996, International Journal of Computer Vision.

[60]  Zhengyou Zhang,et al.  Iterative point matching for registration of free-form curves and surfaces , 1994, International Journal of Computer Vision.

[61]  Benjamin B. Kimia,et al.  Shapes, shocks, and deformations I: The components of two-dimensional shape and the reaction-diffusion space , 1995, International Journal of Computer Vision.