https://blog.csdn.net/zhangping560/article/details/53978011
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在安装PCL时，最方便的办法是官网提供PCL all in one版本，下载安装即可，不需要对pcl源码编译及环境配置，但是目前该版本最新支持到1.6，而PCL源码库的版本一般较高（目前是1.8版本）。all in one版本可能缺少最新的功能。
在此，我使用Cmake进行最新的源码编译。官网给出了配置方法：http://pointclouds.org/documentation/tutorials/compiling_pcl_windows.php
在pcl的官网上可以下载所有的库的源码。 http://www.pointclouds.org/downloads/windows.html
前四项是必须要下载的（因为我需要用到点抓取功能，就安装的OpenNI。）并下载最新的PCL源码。 https://github.com/PointCloudLibrary/pcl/releases 解压，源码放在你指定的文件夹中，比如：C:/PCL/pcl
首先安装前四个软件，安装过程中注意要选择配置环境变量。（安装位置就按默认路径吧，选择自己的路径可能会麻烦点）
然后使用cmake对PCL源码进行编译vs2010的项目。在cmake中指定源码位置及生成位置：
Where is the source code : C:/PCL/pcl
Where to build the binaries: C:/PCL
Grouped和Advanced选项要选中
然后点击配置，编译器选择Visual Studio 10 Win64（这里一定要注意，如果你要配置64位的PCL环境，上面的第三方库也下载64位版本。千万不要选错。如果你要配置32位的PCL环境，第三方库下载32位版本，Cmake编译器选择Visual Studio 10 ）
配置完以后，要在Cmake中确认第三方软件是否都找到了。
Boost :
Eigen :
FLANN :
VTK :
OpenNI :
其他库我们没有安装，就不需要指定了。以上路径如果没有找到就手动指定就好。
点击配置，如果没错误的话就点击生成。
在生成目录中打开PCL.sln工程。生成ALL_BUILD
如果上面的步骤你设置的都正确的话（尤其是32位64位设置），编译过程会有几个小错误：
编译到visualization模块时，如下语句会报错。参考：http://blog.csdn.net/Linear_Luo/article/details/52658984
if (!pcl::visualization::getColormapLUT (static_cast<LookUpTableRepresentationProperties>(value), table)) break;
'static_cast': cannot convert from 'double' to 'pcl::visualization::LookUpTableRepresentationPropert
解决方案：
将所有的
static_cast<LookUpTableRepresentationProperties>(value)
1
1
修改成
static_cast<LookUpTableRepresentationProperties>(int(value))
这样应该就没问题了。编译会完全成功（dubug和release下都进行编译）
然后生成INSTALL。（dubug和release下都进行编译）
生成成功后，在C:\Program Files下会生成PCL文件夹，这就是配置好的PCL库了。之后就可以像OpenCV一样配置环境变量调用编程了
参考：blog.sina.com.cn/s/blog_b3a4f3f80101k38a.html
1、打开计算机 à 系统属性 à 高级系统设置 à 环境变量，在系统变量中添加C:\Program Files\OpenNI\Bin64;C:\Program Files\Boost\lib;C:\Program Files\flann\bin;C:\Program Files (x86)\Eigen\bin;C:Program Files\PCL\bin
2、打开VS2010 ,创建一个新的工程，点击左侧窗口下方的属性管理器，双击Microsoft.Cpp.win32.user，弹出属性页。
点击VC++目录(VC++ Directories)
在包含目录(Include Directories)里添加：
C:\Program Files (x86)\Eigen\include
C:\Program Files\flann\include
C:\Program Files\VTK 5.8.0\include\vtk-5.8
C:\Program Files\Boost\include
C:\Program Files\PCL\include\pcl-1.8
在库目录里(Library Directories)添加：
C:\Program Files\flann\lib
C:\Program Files\VTK 5.8.0\lib\vtk-5.8
C:\Program Files\Boost\lib
C:\Program Files\PCL\lib
点击C/C++——>常规(General)，点开附加包含目录(Additional Include Directories),添加
C:\Program Files (x86)\Eigen\include
C:\Program Files\flann\include
C:\Program Files\VTK 5.8.0\include\vtk-5.8
C:\Program Files\Boost\include
C:\Program Files\PCL\include\pcl-1.8
点开链接器->常规，在附加库目录中添加
C:\Program Files\flann\lib
C:\Program Files\VTK 5.8.0\lib\vtk-5.8
C:\Program Files\Boost\lib
C:\Program Files\PCL\lib
链接器->输入->附加依赖项里边添加：
opengl32.lib
boost_chrono-vc100-mt-gd-1_50.lib
boost_date_time-vc100-mt-gd-1_50.lib
boost_filesystem-vc100-mt-gd-1_50.lib
boost_graph-vc100-mt-gd-1_50.lib
boost_graph_parallel-vc100-mt-gd-1_50.lib
boost_iostreams-vc100-mt-gd-1_50.lib
boost_locale-vc100-mt-gd-1_50.lib
boost_math_c99-vc100-mt-gd-1_50.lib
boost_math_c99f-vc100-mt-gd-1_50.lib
boost_math_tr1-vc100-mt-gd-1_50.lib
boost_math_tr1f-vc100-mt-gd-1_50.lib
boost_mpi-vc100-mt-gd-1_50.lib
boost_prg_exec_monitor-vc100-mt-gd-1_50.lib
boost_program_options-vc100-mt-gd-1_50.lib
boost_random-vc100-mt-gd-1_50.lib
boost_regex-vc100-mt-gd-1_50.lib
boost_serialization-vc100-mt-gd-1_50.lib
boost_signals-vc100-mt-gd-1_50.lib
boost_system-vc100-mt-gd-1_50.lib
boost_thread-vc100-mt-gd-1_50.lib
boost_timer-vc100-mt-gd-1_50.lib
boost_unit_test_framework-vc100-mt-gd-1_50.lib
boost_wave-vc100-mt-gd-1_50.lib
boost_wserialization-vc100-mt-gd-1_50.lib
libboost_chrono-vc100-mt-gd-1_50.lib
libboost_date_time-vc100-mt-gd-1_50.lib
libboost_filesystem-vc100-mt-gd-1_50.lib
libboost_graph_parallel-vc100-mt-gd-1_50.lib
libboost_iostreams-vc100-mt-gd-1_50.lib
libboost_locale-vc100-mt-gd-1_50.lib
libboost_math_c99-vc100-mt-gd-1_50.lib
libboost_math_c99f-vc100-mt-gd-1_50.lib
libboost_math_tr1-vc100-mt-gd-1_50.lib
libboost_math_tr1f-vc100-mt-gd-1_50.lib
libboost_mpi-vc100-mt-gd-1_50.lib
libboost_prg_exec_monitor-vc100-mt-gd-1_50.lib
libboost_program_options-vc100-mt-gd-1_50.lib
libboost_random-vc100-mt-gd-1_50.lib
libboost_regex-vc100-mt-gd-1_50.lib
libboost_serialization-vc100-mt-gd-1_50.lib
libboost_signals-vc100-mt-gd-1_50.lib
libboost_system-vc100-mt-gd-1_50.lib
libboost_test_exec_monitor-vc100-mt-gd-1_50.lib
libboost_thread-vc100-mt-gd-1_50.lib
libboost_timer-vc100-mt-gd-1_50.lib
libboost_unit_test_framework-vc100-mt-gd-1_50.lib
libboost_wave-vc100-mt-gd-1_50.lib
libboost_wserialization-vc100-mt-gd-1_50.lib
flann-gd.lib
flann_cpp_s-gd.lib
flann_cuda_s-gd.lib
flann_s-gd.lib
pcl_common_debug.lib
pcl_features_debug.lib
pcl_filters_debug.lib
pcl_io_debug.lib
pcl_io_ply_debug.lib
pcl_kdtree_debug.lib
pcl_keypoints_debug.lib
pcl_octree_debug.lib
pcl_outofcore_debug.lib
pcl_people_debug.lib
pcl_recognition_debug.lib
pcl_registration_debug.lib
pcl_sample_consensus_debug.lib
pcl_search_debug.lib
pcl_segmentation_debug.lib
pcl_surface_debug.lib
pcl_tracking_debug.lib
pcl_visualization_debug.lib
MapReduceMPI-gd.lib
mpistubs-gd.lib
vtkalglib-gd.lib
vtkCharts-gd.lib
vtkCommon-gd.lib
vtkDICOMParser-gd.lib
vtkexoIIc-gd.lib
vtkexpat-gd.lib
vtkFiltering-gd.lib
vtkfreetype-gd.lib
vtkftgl-gd.lib
vtkGenericFiltering-gd.lib
vtkGeovis-gd.lib
vtkGraphics-gd.lib
vtkhdf5-gd.lib
vtkHybrid-gd.lib
vtkImaging-gd.lib
vtkInfovis-gd.lib
vtkIO-gd.lib
vtkjpeg-gd.lib
vtklibxml2-gd.lib
vtkmetaio-gd.lib
vtkNetCDF-gd.lib
vtkNetCDF_cxx-gd.lib
vtkpng-gd.lib
vtkproj4-gd.lib
vtkRendering-gd.lib
vtksqlite-gd.lib
vtksys-gd.lib
vtktiff-gd.lib
vtkverdict-gd.lib
vtkViews-gd.lib
vtkVolumeRendering-gd.lib
vtkWidgets-gd.lib
vtkzlib-gd.lib
以上是debug下的配置，release下的配置一样，链接库需要换一下
opengl32.lib
boost_chrono-vc100-mt-1_50.lib
boost_date_time-vc100-mt-1_50.lib
boost_filesystem-vc100-mt-1_50.lib
boost_graph-vc100-mt-1_50.lib
boost_graph_parallel-vc100-mt-1_50.lib
boost_iostreams-vc100-mt-1_50.lib
boost_locale-vc100-mt-1_50.lib
boost_math_c99-vc100-mt-1_50.lib
boost_math_c99f-vc100-mt-1_50.lib
boost_math_tr1-vc100-mt-1_50.lib
boost_math_tr1f-vc100-mt-1_50.lib
boost_mpi-vc100-mt-1_50.lib
boost_prg_exec_monitor-vc100-mt-1_50.lib
boost_program_options-vc100-mt-1_50.lib
boost_random-vc100-mt-1_50.lib
boost_regex-vc100-mt-1_50.lib
boost_serialization-vc100-mt-1_50.lib
boost_signals-vc100-mt-1_50.lib
boost_system-vc100-mt-1_50.lib
boost_thread-vc100-mt-1_50.lib
boost_timer-vc100-mt-1_50.lib
boost_unit_test_framework-vc100-mt-1_50.lib
boost_wave-vc100-mt-1_50.lib
boost_wserialization-vc100-mt-1_50.lib
libboost_chrono-vc100-mt-1_50.lib
libboost_date_time-vc100-mt-1_50.lib
libboost_filesystem-vc100-mt-1_50.lib
libboost_graph_parallel-vc100-mt-1_50.lib
libboost_iostreams-vc100-mt-1_50.lib
libboost_locale-vc100-mt-1_50.lib
libboost_math_c99-vc100-mt-1_50.lib
libboost_math_c99f-vc100-mt-1_50.lib
libboost_math_tr1-vc100-mt-1_50.lib
libboost_math_tr1f-vc100-mt-1_50.lib
libboost_mpi-vc100-mt-1_50.lib
libboost_prg_exec_monitor-vc100-mt-1_50.lib
libboost_program_options-vc100-mt-1_50.lib
libboost_random-vc100-mt-1_50.lib
libboost_regex-vc100-mt-1_50.lib
libboost_serialization-vc100-mt-1_50.lib
libboost_signals-vc100-mt-1_50.lib
libboost_system-vc100-mt-1_50.lib
libboost_test_exec_monitor-vc100-mt-1_50.lib
libboost_thread-vc100-mt-1_50.lib
libboost_timer-vc100-mt-1_50.lib
libboost_unit_test_framework-vc100-mt-1_50.lib
libboost_wave-vc100-mt-1_50.lib
libboost_wserialization-vc100-mt-1_50.lib
flann.lib
flann_cpp_s.lib
flann_cuda_s.lib
flann_s.lib
pcl_common_release.lib
pcl_features_release.lib
pcl_filters_release.lib
pcl_io_ply_release.lib
pcl_io_release.lib
pcl_kdtree_release.lib
pcl_keypoints_release.lib
pcl_octree_release.lib
pcl_outofcore_release.lib
pcl_people_release.lib
pcl_recognition_release.lib
pcl_registration_release.lib
pcl_sample_consensus_release.lib
pcl_search_release.lib
pcl_segmentation_release.lib
pcl_surface_release.lib
pcl_tracking_release.lib
pcl_visualization_release.lib
MapReduceMPI.lib
mpistubs.lib
vtkalglib.lib
vtkCharts.lib
vtkCommon.lib
vtkDICOMParser.lib
vtkexoIIc.lib
vtkexpat.lib
vtkFiltering.lib
vtkfreetype.lib
vtkftgl.lib
vtkGenericFiltering.lib
vtkGeovis.lib
vtkGraphics.lib
vtkhdf5.lib
vtkHybrid.lib
vtkImaging.lib
vtkInfovis.lib
vtkIO.lib
vtkjpeg.lib
vtklibxml2.lib
vtkmetaio.lib
vtkNetCDF.lib
vtkNetCDF_cxx.lib
vtkpng.lib
vtkproj4.lib
vtkRendering.lib
vtksqlite.lib
vtksys.lib
vtktiff.lib
vtkverdict.lib
vtkViews.lib
vtkVolumeRendering.lib
vtkWidgets.lib
vtkzlib.lib
好了，至此就配置完成了。（重新启动计算机，完成配置）我们可以编写测试程序了：
#include <iostream>
#include <pcl/io/pcd_io.h>
#include <pcl/point_types.h>
int main (int argc, char** argv)
{
pcl::PointCloud<pcl::PointXYZ> cloud;
// Fill in the cloud data
cloud.width = 5;
cloud.height = 1;
cloud.is_dense = false;
cloud.points.resize (cloud.width * cloud.height);
for (size_t i = 0; i < cloud.points.size (); ++i)
{
cloud.points[i].x = 1024 * rand () / (RAND_MAX + 1.0f);
cloud.points[i].y = 1024 * rand () / (RAND_MAX + 1.0f);
cloud.points[i].z = 1024 * rand () / (RAND_MAX + 1.0f);
}
pcl::io::savePCDFileASCII ("test_pcd.pcd", cloud);
std::cerr << "Saved " << cloud.points.size () << " data points to test_pcd.pcd." << std::endl;
for (size_t i = 0; i < cloud.points.size (); ++i)
std::cerr << " " << cloud.points[i].x << " " << cloud.points[i].y << " " << cloud.points[i].z << std::endl;
return (0);
}
结果：
原文：https://blog.csdn.net/zhangping560/article/details/53978011