CPD2
所属分类：图形图像处理
开发工具：matlab
文件大小：1926KB
下载次数：4
上传日期：2019-04-11 16:47:06
上 传 者：
wller
说明： 一 致 性 点 漂 移 算 法 (Coherent Point Drift, CPD)是一种鲁棒的基于高斯混合模型的点集匹配 算法。该算法适用于刚体以及非刚体变换下的多维 点集配准问题，对于噪声、出格点以及缺失点的影 响具有较强鲁棒性。
(Coherent Point Drift (CPD) is a robust point set matching algorithm based on Gaussian mixture model. The algorithm is suitable for multi-dimensional point set registration problems under rigid and non-rigid transformations, and is robust to noise, outliers and missing points.)
文件列表:
CPD2\core\cpd_make.m (2287, 2019-04-03)
CPD2\core\cpd_register.m (8446, 2019-04-03)
CPD2\core\FGT\fgt_model(1).c (14081, 2019-04-03)
CPD2\core\FGT\fgt_model.mexw64 (13824, 2019-04-03)
CPD2\core\FGT\fgt_predict.c (8525, 2019-04-03)
CPD2\core\FGT\fgt_predict.mexw64 (9216, 2019-04-03)
CPD2\core\mex\cpd_P.c (2846, 2019-04-03)
CPD2\core\mex\cpd_P.mexw64 (9216, 2019-04-03)
CPD2\core\mex\cpd_Pappmex.c (3049, 2019-04-03)
CPD2\core\mex\cpd_Pappmex.mexw64 (9216, 2019-04-03)
CPD2\core\mex\cpd_Pcorrespondence.c (2396, 2019-04-03)
CPD2\core\mex\cpd_Pcorrespondence.mexw64 (9216, 2019-04-03)
CPD2\core\Nonrigid\cpd_GRBF.m (4282, 2019-04-03)
CPD2\core\Nonrigid\cpd_GRBF_lowrank.m (4679, 2019-04-03)
CPD2\core\Nonrigid\cpd_GRBF_lowrankQS.m (1022, 2019-04-03)
CPD2\core\Rigid\cpd_affine.m (3684, 2019-04-03)
CPD2\core\Rigid\cpd_rigid.m (4250, 2019-04-03)
CPD2\core\utils\cpd_deform.m (679, 2019-04-03)
CPD2\core\utils\cpd_denormalize.m (2016, 2019-04-03)
CPD2\core\utils\cpd_G.m (1569, 2019-04-03)
CPD2\core\utils\cpd_normalize.m (2009, 2019-04-03)
CPD2\core\utils\cpd_Pfast.m (585, 2019-04-03)
CPD2\core\utils\cpd_plot_iter.m (2014, 2019-04-03)
CPD2\core\utils\cpd_P_FGT.m (948, 2019-04-03)
CPD2\core\utils\cpd_R.m (282, 2019-04-03)
CPD2\core\utils\cpd_transform.m (961, 2019-04-03)
CPD2\core\utils\disptime.m (407, 2019-04-03)
CPD2\data\bun_zipper.mat (804127, 2019-04-03)
CPD2\data\bun_zipper_res2.mat (184781, 2019-04-03)
CPD2\data\bun_zipper_res3.mat (43133, 2019-04-03)
CPD2\data\bun_zipper_res4.mat (10595, 2019-04-03)
CPD2\data\cpd_data2D_fish.mat (2923, 2019-04-03)
CPD2\data\cpd_data3D_bunny.mat (374966, 2019-04-03)
CPD2\data\cpd_data3D_face.mat (10024, 2019-04-03)
CPD2\data\cpd_data3D_face50.mat (454020, 2019-04-03)
CPD2\data\cpd_data_geometry.mat (25617, 2019-04-03)
CPD2\examples\cpd_affine_example1(1).m (453, 2019-04-03)
CPD2\examples\cpd_affine_example2.m (1139, 2019-04-03)
CPD2\examples\cpd_imageregistration_example.m (1263, 2019-04-03)
CPD2\examples\cpd_Nonrigid_example1.m (352, 2019-04-03)
... ...
Coherent Point Drift (CPD) Matlab package (version 2.1)
Copyright (C) 2006-2009, Andriy Myronenko
This package provides Matlab code with examples for
the Coherent Point Drift (CPD) algorithm. The description of
the CPD algorithm can be found in
Myronenko A., Song X.(2009), "Point-Set Registration: Coherent Point Drift.", Technical Report, OHSU
download at http://www.bme.ogi.edu/~myron/matlab/cpd/
1) INSTALLATION
Unpack the CPD distribution archive.
解压缩CPD分发档案
Add 'CPD' directory with all subdirectories to the Matlab path.
将包含所有子目录的“CPD”目录添加到Matlab路径。
Run cpd_make (in Matlab) to mex-compile some essential files.
运行cpd_make（在Matlab中）以编译一些基本文件
2) EXAMPLES
Please see many examples in the 'examples' directory for the details.
有关详细信息，请参阅'examples'目录中的许多示例。
cpd_register(X, Y,opt.method=['rigid'],opt.rot=1,opt.scale=0,opt.max_it=100,opt.tol=le-8,opt.viz=0,opt.outliers=0.6,opt.fgt=1,opt.corresp=1)
3) REFERENCE 参考
(2) A. Myronenko, X. Song,"Point set registration: Coherent Point Drift",
Technical Report, OHSU, 2009.
(1) A. Myronenko, X. Song, M. Carreira-Perpinan,
"Non-rigid point set registration: Coherent Point Drift",
Neural Information Processing Systems (NIPS) 2006.
3) WEBSITE
For the latest info visit the project website at
http://www.bme.ogi.edu/~myron/matlab/cpd/
5) Fast Gauss Transform (FGT) mex implementation
The code provides a possibility to use FGT (optionally) to speedup some computations.
The FGT implementation is by Sebastian Paris, see
http://www.mathworks.com/matlabcentral/fileexchange/17438.
-----------------------------------------------------------------------
This document was last modified on : Nov. 20th, 2009.
近期下载者：
相关文件：
收藏者：