文件列表:

非刚性强壮点匹配法\cICP_findneighbours.m (2133, 2000-05-03)
非刚性强壮点匹配法\cMIX.m (11374, 2000-05-03)
非刚性强壮点匹配法\cMIX_calc_m_ICP.m (3395, 2000-05-03)
非刚性强壮点匹配法\cMIX_calc_transformation.m (1290, 2000-05-03)
非刚性强壮点匹配法\cMIX_normalize_m.m (1759, 2000-05-03)
非刚性强壮点匹配法\cMIX_plot_mixture_simple.m (1944, 2000-05-03)
非刚性强壮点匹配法\cMIX_plot_simple.m (7470, 2000-05-03)
非刚性强壮点匹配法\cMIX_warp_pts.m (1055, 2000-05-03)
非刚性强壮点匹配法\cpause.m (956, 2000-05-03)
非刚性强壮点匹配法\cplot.m (2920, 2000-05-03)
非刚性强壮点匹配法\cplotg.m (2965, 2000-05-03)
非刚性强壮点匹配法\crbf_gen.m (3320, 2000-05-03)
非刚性强壮点匹配法\crbf_plot_grid.m (1380, 2000-05-03)
非刚性强壮点匹配法\crbf_warp_pts.m (964, 2000-05-03)
非刚性强壮点匹配法\ctps_gen.m (5204, 2000-05-03)
非刚性强壮点匹配法\ctps_plot_grid.m (2472, 2000-05-03)
非刚性强壮点匹配法\ctps_plot_gridbox.m (1932, 2000-05-03)
非刚性强壮点匹配法\ctps_plot_grid_gen.m (3697, 2000-05-03)
非刚性强壮点匹配法\ctps_plot_grid_gen1.m (2979, 2000-05-03)
非刚性强壮点匹配法\ctps_warp_pts.m (2048, 2000-05-03)
非刚性强壮点匹配法\demodata_ex1.mat (2160, 2000-04-27)
非刚性强壮点匹配法\demodata_ex2.mat (1840, 2000-04-27)
非刚性强壮点匹配法\demodata_ex3.mat (1840, 2000-04-27)
非刚性强壮点匹配法\demodata_ex4.mat (3376, 2000-04-27)
非刚性强壮点匹配法\demodata_ex5.mat (3600, 2000-04-27)
非刚性强壮点匹配法\fig.m (692, 2000-05-03)
非刚性强壮点匹配法\figb.m (721, 2000-05-03)
非刚性强壮点匹配法\LICENSE (16130, 2000-05-03)
非刚性强壮点匹配法\rpm_demo.m (5851, 2000-05-03)
非刚性强壮点匹配法\rpm_demo_cmd.m (3417, 2000-05-03)
非刚性强壮点匹配法\非刚性强壮点匹配图像配准。用于医学图像配准。thin plate splines robust point matching..txt (218, 2007-06-04)
非刚性强壮点匹配法 (0, 2007-11-15)

Robust Point Matching (RPM) Demo (version 20000427): ---------------------------------------------------- Copyright (C) 2000 Haili Chui, Anand Rangarajan Authors: Haili Chui and Anand Rangarajan Date: 04/27/2000 Contact Information: Haili Chui: chui@noodle.med.yale.edu Anand Rangarajan: anand@noodle.med.yale.edu Contents: This package of MATLAB M-files provides a demo for the Robust Point Matching (RPM) algorithm. Five example data point-sets are included. We also provide a simple GUI to load the data and start the demo. All the source code (M-files) required to execute RPM are included. Terms: The source code (M-files) are provided under the terms of the GNU General Public License with an explicit clause permitting the execution of the M-files from within a MATLAB environment. See the LICENSE file for details. Details: 1. Major files included in this demo: rpm_demo.m --- RPM demos with a GUI. rpm_demo_cmd.m --- RPM demos without GUI. cMIX.m --- Main point matching function. (Both RPM and ICP included). 2. How to run the demo: For "rpm_demo": (1) Run matlab. We have tested the code with MATLAB 5.2. (2) Type the command at matlab prompt: >> rpm_demo; (3) Click "1"-"5" button to load demo data. (4) Click "RPM" button or "ICP" button to run the program. For "rpm_demo_cmd.m", please refer to the header for its usage. 3. How to use "cMIX.m". The portion of the name "MIX" comes from "mixture modeling", because the robust point matching algorithm (RPM) is closely related to the Gaussian mixture model in probability density estimation. The program basically does an alternating estimation of the correspondence and the transformation parameters, which are the two unknown variables in the point matching problem. This is controlled by a pre-defined "annealing" process. (Please check the references for more details). Basic usage of "cMIX.m": ------------------------ cMIX (point_set1, point_set2, fraction, T_init, T_final_factor); A common example: ----------------- cMIX (x,y, 2, 0.1, 100); Explanation: ------------ x,y -- two point-sets. 2 -- take every 2nd point in both x and y, and only use those for the matching. (if fraction == 1, every point will be used). 0.1 -- T_init. 100 -- T_final = 0.1 / 100 = 0.001. 4. Deformation between the point-sets: Non-rigidly related point-sets are matched in this demo (as you will see in the examples). We model the non-rigidity through a smooth spline function -- the thin-plate spline (TPS). For more details, please check the references. Note: As discussed in the referenced work, the RPM algorithm is a general point matching algorithm which can be used with any rigid or non-rigid transformation. The source code is a demonstration of RPM using the TPS as the non-rigid transformation. It can be readily modified to incorporate other transformations. 5. References for the codes: (1) H. Chui and A. Rangarajan, "A new algorithm for non-rigid point matching", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2000, (in press). (2) H. Chui and A. Rangarajan, "A feature registration framework using mixture models", IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2000, (in press). The references are available on our website at: http://noodle.med.yale.edu/~chui/tps-rpm.html Further references on Robust Point Matching can be found at: http://noodle.med.yale.edu/~anand/ --- end of the file ---

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