文件名称:472952

  • 所属分类:
  • 2D图形编程
  • 资源属性:
  • [Windows] [Visual.Net] [源码]
  • 上传时间:
  • 2017-05-19
  • 文件大小:
  • 354kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • xomp*****
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容均来自于网络,请自行研究使用

This a set of simple implementations for aligning scans of r
(系统自动生成,下载前可以参看下载内容)

下载文件列表





Readme.txt

source\geometry2D.hpp

......\icp.hpp

......\likelihood_function.hpp

......\nn.hpp

......\simplex.hpp

......\sog_match.hpp

......\geometry2D.cpp

......\icp.cpp

mexfiles\mex_icp.cpp

........\mex_k_neighbours.cpp

........\mex_nearest_neighbour.cpp

........\mex_nearest_neighbour_old.cpp

........\mex_sog_correlate.cpp

........\mex_sog_correlate_variant.cpp

........\mex_sog_optimise.cpp

source\nn.cpp

......\simplex.cpp

......\sog_match.cpp

Tcorrelate_variance\version1_gauss_svd\sog_correlate.dll

...................\.......2_importance_sampling\sog_correlate.dll

...................\.......1_gauss_svd\sog_optimise.dll

mexfiles\icp\module.def

........\k_neighbours\module.def

........\sog_optimise\module.def

........\....correlate\module.def

........\nearest_neighbour\module.def

8least_squares_align\align_least_squares.m

Tcorrelate_variance\version1_gauss_svd\align_svd.m

...................\..................\demo_gauss_svd.m

...................\.......2_importance_sampling\demo_importance_gauss.m

8least_squares_align\demo_least_squares.m

Tcorrelate_variance\version1_gauss_svd\gauss_variance_svd.m

...................\.......2_importance_sampling\importance_gaussian.m

...................\.......1_gauss_svd\make_gaussian_sum.m

...................\.......2_importance_sampling\make_gaussian_sum.m

...................\............................\multivariate_gauss.m

8least_squares_align\pi_to_pi.m

Tcorrelate_variance\version2_importance_sampling\sample_mean.m

...................\.......1_gauss_svd\sigma_ellipse.m

...................\.......2_importance_sampling\sigma_ellipse.m

...................\............................\stratified_random.m

...................\............................\stratified_resample.m

8least_squares_align\transform_to_global.m

Tcorrelate_variance\version1_gauss_svd\transform_to_global.m

...................\.......2_importance_sampling\transform_to_global.m

...................\.......1_gauss_svd\data.mat

...................\.......2_importance_sampling\data.mat

8least_squares_align\data.mat

mexfiles\mexfiles.ncb

........\mexfiles.sln

........\mexfiles.suo

........\icp\icp.vcproj

........\k_neighbours\k_neighbours.vcproj

........\nearest_neighbour\nearest_neighbour.vcproj

........\sog_correlate\sog_correlate.vcproj

........\....optimise\sog_optimise.vcproj

........\icp

........\k_neighbours

........\nearest_neighbour

........\sog_correlate

........\sog_optimise

Tcorrelate_variance\version1_gauss_svd

...................\version2_importance_sampling

8least_squares_align

mexfiles

source

Tcorrelate_variance

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