A Perfect Match Condition for Point-Set Matching Problems Using the Optimal Mass Transport Approach
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[1] Azriel Rosenfeld,et al. A distance metric for multidimensional histograms , 1985, Comput. Vis. Graph. Image Process..
[2] Paul J. Besl,et al. A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[3] R. Castillo,et al. A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets , 2009, Physics in medicine and biology.
[4] Lei Zhu,et al. Optimal Mass Transport for Registration and Warping , 2004, International Journal of Computer Vision.
[5] Wei Lu,et al. Tracking lung tissue motion and expansion/compression with inverse consistent image registration and spirometry. , 2007, Medical physics.
[6] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[7] Heinz Handels,et al. Patient-specific finite element modeling of respiratory lung motion using 4D CT image data. , 2009, Medical physics.
[8] 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).
[9] Facundo Mémoli,et al. Spectral Gromov-Wasserstein distances for shape matching , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.
[10] Vladimir Pekar,et al. Assessment of a model-based deformable image registration approach for radiation therapy planning. , 2007, International journal of radiation oncology, biology, physics.
[11] Yin Zhang,et al. Solving large-scale linear programs by interior-point methods under the Matlab ∗ Environment † , 1998 .
[12] Geoffrey McLennan,et al. CT-based geometry analysis and finite element models of the human and ovine bronchial tree. , 2004, Journal of applied physiology.
[13] Anand Rangarajan,et al. A new point matching algorithm for non-rigid registration , 2003, Comput. Vis. Image Underst..
[14] Nassir Navab,et al. Deformable 2D-3D Registration of Vascular Structures in a One View Scenario , 2009, IEEE Transactions on Medical Imaging.
[15] Holger Wendland,et al. Scattered Data Approximation: Conditionally positive definite functions , 2004 .
[16] 丸山 徹. Convex Analysisの二,三の進展について , 1977 .
[17] A. Saada. Elasticity : theory and applications , 1993 .
[18] V. Boldea,et al. Simulation of four-dimensional CT images from deformable registration between inhale and exhale breath-hold CT scans. , 2006, Medical physics.
[19] Takeo Kanade,et al. A Correlation-Based Approach to Robust Point Set Registration , 2004, ECCV.
[20] Alexander M. Bronstein,et al. A game-theoretic approach to deformable shape matching , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[21] Lei Xing,et al. Hybrid multiscale landmark and deformable image registration. , 2007, Mathematical biosciences and engineering : MBE.
[22] Karl Rohr. Landmark-Based Image Analysis: Using Geometric And Intensity Models , 2010 .
[23] Josien P. W. Pluim,et al. Semi-automatic Reference Standard Construction for Quantitative Evaluation of Lung CT Registration , 2008, MICCAI.
[24] V.R.S Mani,et al. Survey of Medical Image Registration , 2013 .
[25] Richard Sinkhorn. A Relationship Between Arbitrary Positive Matrices and Doubly Stochastic Matrices , 1964 .
[26] Kai Ding,et al. A cubic B-spline-based hybrid registration of lung CT images for a dynamic airway geometric model with large deformation , 2011, Physics in medicine and biology.
[27] Eric A. Hoffman,et al. Local tissue-weight-based nonrigid registration of lung images with application to regional ventilation , 2009, Medical Imaging.
[28] Magnus Karlsson,et al. The Maximum Polygon Area and its Relation to the Isoperimetric Inequality , 2005 .
[29] Lei Zhu,et al. An Image Morphing Technique Based on Optimal Mass Preserving Mapping , 2007, IEEE Transactions on Image Processing.
[30] Thomas Kaijser. Computing the Kantorovich Distance for Images , 2004, Journal of Mathematical Imaging and Vision.
[31] P. Bassanini,et al. Elliptic Partial Differential Equations of Second Order , 1997 .
[32] Charles R. Johnson,et al. Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.
[33] Luiza Bondar,et al. A symmetric nonrigid registration method to handle large organ deformations in cervical cancer patients. , 2010, Medical physics.
[34] Xiao Han. Feature-constrained Nonlinear Registration of Lung CT Images , 2010 .
[35] A Tardivon,et al. Computational Imaging and Vision: Digital Mammography. By N. Karsseimeijer, M. Zhijssen, J. Hendricks, and L. van Erning, Kluwer Academic Publishers, Dordrecht, 1999. ISBN 0-7923-5274-2 , 2000 .
[36] Michael Werman,et al. Affine point matching , 1994, Pattern Recognit. Lett..
[37] Eric A. Hoffman,et al. Registration-based estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation , 2008, Medical Image Anal..
[38] Mauro Dell'Amico,et al. Assignment Problems , 1998, IFIP Congress: Fundamentals - Foundations of Computer Science.
[39] Leonidas J. Guibas,et al. The Earth Mover's Distance as a Metric for Image Retrieval , 2000, International Journal of Computer Vision.
[40] Eric A. Hoffman,et al. Evaluation and application of 3D lung warping and registration model using HRCT images , 2001, SPIE Medical Imaging.
[41] Zhengyou Zhang,et al. Iterative point matching for registration of free-form curves and surfaces , 1994, International Journal of Computer Vision.
[42] Leonidas J. Guibas,et al. A concise and provably informative multi-scale signature based on heat diffusion , 2009 .
[43] Kathrin Klamroth,et al. On the Application of the Monge--Kantorovich Problem to Image Registration , 2009, SIAM J. Imaging Sci..
[44] Y. Brenier. Polar Factorization and Monotone Rearrangement of Vector-Valued Functions , 1991 .
[45] Julien Rabin,et al. A Statistical Approach to the Matching of Local Features , 2009, SIAM J. Imaging Sci..
[46] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[47] Jan Flusser,et al. Image registration methods: a survey , 2003, Image Vis. Comput..
[48] Jason H. T. Bates,et al. Lung Mechanics: An Inverse Modeling Approach , 2009 .
[49] E. Hoffman,et al. Mass preserving nonrigid registration of CT lung images using cubic B-spline. , 2009, Medical physics.
[50] D. Gilbarg,et al. Elliptic Partial Differential Equa-tions of Second Order , 1977 .
[51] R. McCann. Existence and uniqueness of monotone measure-preserving maps , 1995 .
[52] T. Banchoff,et al. Differential Geometry of Curves and Surfaces , 2010 .
[53] Dimitri P. Bertsekas,et al. Nonlinear Programming , 1997 .
[54] Pengwen Chen,et al. Alpha divergences based mass transport models for image matching problems , 2011 .
[55] Margrit Betke,et al. Landmark detection in the chest and registration of lung surfaces with an application to nodule registration , 2003, Medical Image Anal..
[56] Pengwen Chen,et al. A Novel Kernel Correlation Model with the Correspondence Estimation , 2011, Journal of Mathematical Imaging and Vision.
[57] C. Villani. Topics in Optimal Transportation , 2003 .
[58] C. Villani. Optimal Transport: Old and New , 2008 .
[59] E. Hoffman,et al. Pulmonary CT image registration and warping for tracking tissue deformation during the respiratory cycle through 3D consistent image registration. , 2008, Medical physics.
[60] Andrea Torsello,et al. A game-theoretic approach to fine surface registration without initial motion estimation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[61] P. J. Hunter,et al. Generation of an Anatomically Based Three-Dimensional Model of the Conducting Airways , 2000, Annals of Biomedical Engineering.