The thin plate spline robust point matching (TPS-RPM) algorithm: A revisit
暂无分享,去创建一个
[1] Richard Sinkhorn. A Relationship Between Arbitrary Positive Matrices and Doubly Stochastic Matrices , 1964 .
[2] Kenneth Steiglitz,et al. Combinatorial Optimization: Algorithms and Complexity , 1981 .
[3] G. Wahba. Spline models for observational data , 1990 .
[4] Paul J. Besl,et al. A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[5] J. J. Kosowsky,et al. Statistical Physics Algorithms That Converge , 1994, Neural Computation.
[6] Anand Rangarajan,et al. The Softassign Procrustes Matching Algorithm , 1997, IPMI.
[7] Yuedong Wang. Smoothing Spline Models with Correlated Random Errors , 1998 .
[8] Max A. Viergever,et al. A survey of medical image registration , 1998, Medical Image Anal..
[9] Edwin R. Hancock,et al. Graph Matching With a Dual-Step EM Algorithm , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Karl Rohr,et al. Approximating Thin-Plate Splines for Elastic Registration: Integration of Landmark Errors and Orientation Attributes , 1999, IPMI.
[11] H. Chui,et al. A feature registration framework using mixture models , 2000, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis. MMBIA-2000 (Cat. No.PR00737).
[12] Jürgen Weese,et al. Landmark-based elastic registration using approximating thin-plate splines , 2001, IEEE Transactions on Medical Imaging.
[13] Anand Rangarajan,et al. A new point matching algorithm for non-rigid registration , 2003, Comput. Vis. Image Underst..
[14] Jan Flusser,et al. Image registration methods: a survey , 2003, Image Vis. Comput..
[15] James S. Duncan,et al. Analysis of Left Ventricular Motion Using a General Robust Point Matching Algorithm , 2003, MICCAI.
[16] Dimitris N. Metaxas,et al. Hybrid Image Registration based on Configural Matching of Scale-Invariant Salient Region Features , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[17] Michael Brady,et al. Saliency, Scale and Image Description , 2001, International Journal of Computer Vision.
[18] Dinggang Shen,et al. Learning Best Features for Deformable Registration of MR Brains , 2005, MICCAI.
[19] David S. Doermann,et al. Robust point matching for nonrigid shapes by preserving local neighborhood structures , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Rick S. Blum,et al. Non-rigid Image Registration Using Geometric Features and Local Salient Region Features , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[21] Nikos Paragios,et al. Registration with Uncertainties and Statistical Modeling of Shapes with Variable Metric Kernels , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Aristidis Likas,et al. The mixtures of Student's t-distributions as a robust framework for rigid registration , 2009, Image Vis. Comput..
[23] Mongi A. Abidi,et al. A new method for the registration of three-dimensional point-sets: The Gaussian Fields framework , 2010, Image Vis. Comput..
[24] Jitendra Malik,et al. Shape matching and object recognition using shape contexts , 2010, 2010 3rd International Conference on Computer Science and Information Technology.