最近需要用到PCL库，在此把配置过程中需要注意的问题记录下来，配置过程中参考了很多博主，在此感谢他们的帮助。
pcl1.8.1的相关文件在这里 https://pan.baidu.com/s/160MNN8MtAfwyifSJAbF9Ew ，密码是x670
rabbit.pcd文件在这里 https://pan.baidu.com/s/1UK_LxaxPie0y-fL4DmwkVg ，密码是18v4
我的路径是：E:\BaiduNetdiskDownload\pcl\PCL 1.8.1
1.安装PCL
(1)一定要选择 Add PCL to the system PATH for all user
(2)在安装pcl的中途会跳出来openNI2的安装，最好把它安装在 E:\BaiduNetdiskDownload\pcl\PCL 1.8.1\3rdParty\OpenNI2
(3)把下载的pbd压缩包解压，里面的pbd文件复制在 E:\BaiduNetdiskDownload\pcl\PCL 1.8.1\bin
2.配置环境变量(5个)：
E:\BaiduNetdiskDownload\pcl\PCL 1.8.1\bin;（这一项在选择了Add PCL to the system PATH for all user 就会自动产生）
E:\BaiduNetdiskDownload\pcl\PCL 1.8.1\3rdParty\VTK\bin;
E:\BaiduNetdiskDownload\pcl\PCL 1.8.1\3rdParty\FLANN\bin;
E:\BaiduNetdiskDownload\pcl\PCL 1.8.1\3rdParty\Qhull\bin;
E:\BaiduNetdiskDownload\pcl\PCL 1.8.1\3rdParty\OpenNI2\Tools;
3.vs的相关操作
（1）新建一个空项目，注意在这里选择Debug-x64
(2)在解决方案资源管理器中，右键选择属性，在最上面的配置中选择Debug-x64 ，在VC++目录的包含目录和库目录里分别添加对应项。
包含目录（7个）：
E:\BaiduNetdiskDownload\pcl\PCL1.8.1\3rdParty\OpenNI2\Include;
E:\BaiduNetdiskDownload\pcl\PCL1.8.1\include\pcl-1.8;
E:\BaiduNetdiskDownload\pcl\PCL1.8.1\3rdParty\VTK\include\vtk-8.0;
E:\BaiduNetdiskDownload\pcl\PCL1.8.1\3rdParty\Qhull\include;
E:\BaiduNetdiskDownload\pcl\PCL1.8.1\3rdParty\FLANN\include;
E:\BaiduNetdiskDownload\pcl\PCL1.8.1\3rdParty\Eigen\eigen3;
E:\BaiduNetdiskDownload\pcl\PCL 1.8.1\3rdParty\Boost\include\boost-1_64;
库目录（6个）：
E:\BaiduNetdiskDownload\pcl\PCL 1.8.1\3rdParty\OpenNI2\Lib;
E:\BaiduNetdiskDownload\pcl\PCL 1.8.1\3rdParty\VTK\lib;
E:\BaiduNetdiskDownload\pcl\PCL 1.8.1\3rdParty\Qhull\lib
;E:\BaiduNetdiskDownload\pcl\PCL 1.8.1\3rdParty\FLANN\lib;
E:\BaiduNetdiskDownload\pcl\PCL 1.8.1\3rdParty\Boost\lib;
E:\BaiduNetdiskDownload\pcl\PCL 1.8.1\lib;
（4）在链接器-输入-附加依赖项中添加以下lib文件
附加依赖项：
vtknetcdf_c++-gd.lib;pcl_common_debug.lib;pcl_features_debug.lib;pcl_filters_debug.lib;pcl_io_ply_debug.lib;pcl_io_debug.lib;pcl_kdtree_debug.lib;pcl_keypoints_debug.lib;pcl_ml_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_stereo_debug.lib;pcl_surface_debug.lib;pcl_tracking_debug.lib;pcl_visualization_debug.lib;libboost_atomic-vc141-mt-gd-1_64.lib;libboost_bzip2-vc141-mt-gd-1_64.lib;libboost_chrono-vc141-mt-gd-1_64.lib;libboost_container-vc141-mt-gd-1_64.lib;libboost_context-vc141-mt-gd-1_64.lib;libboost_coroutine-vc141-mt-gd-1_64.lib;libboost_date_time-vc141-mt-gd-1_64.lib;libboost_exception-vc141-mt-gd-1_64.lib;libboost_fiber-vc141-mt-gd-1_64.lib;libboost_filesystem-vc141-mt-gd-1_64.lib;libboost_graph-vc141-mt-gd-1_64.lib;libboost_graph_parallel-vc141-mt-gd-1_64.lib;libboost_iostreams-vc141-mt-gd-1_64.lib;libboost_locale-vc141-mt-gd-1_64.lib;libboost_log-vc141-mt-gd-1_64.lib;libboost_log_setup-vc141-mt-gd-1_64.lib;libboost_math_c99-vc141-mt-gd-1_64.lib;libboost_math_c99f-vc141-mt-gd-1_64.lib;libboost_math_c99l-vc141-mt-gd-1_64.lib;libboost_math_tr1-vc141-mt-gd-1_64.lib;libboost_math_tr1f-vc141-mt-gd-1_64.lib;libboost_math_tr1l-vc141-mt-gd-1_64.lib;libboost_mpi-vc141-mt-gd-1_64.lib;libboost_numpy3-vc141-mt-gd-1_64.lib;libboost_numpy-vc141-mt-gd-1_64.lib;libboost_prg_exec_monitor-vc141-mt-gd-1_64.lib;libboost_program_options-vc141-mt-gd-1_64.lib;libboost_python3-vc141-mt-gd-1_64.lib;libboost_python-vc141-mt-gd-1_64.lib;libboost_random-vc141-mt-gd-1_64.lib;libboost_regex-vc141-mt-gd-1_64.lib;libboost_serialization-vc141-mt-gd-1_64.lib;libboost_signals-vc141-mt-gd-1_64.lib;libboost_system-vc141-mt-gd-1_64.lib;libboost_test_exec_monitor-vc141-mt-gd-1_64.lib;libboost_thread-vc141-mt-gd-1_64.lib;libboost_timer-vc141-mt-gd-1_64.lib;libboost_type_erasure-vc141-mt-gd-1_64.lib;libboost_unit_test_framework-vc141-mt-gd-1_64.lib;libboost_wave-vc141-mt-gd-1_64.lib;libboost_wserialization-vc141-mt-gd-1_64.lib;libboost_zlib-vc141-mt-gd-1_64.lib;flann-gd.lib;flann_cpp-gd.lib;flann_cpp_s-gd.lib;flann_s-gd.lib;qhull_d.lib;qhullcpp_d.lib;qhullstatic_d.lib;qhullstatic_r_d.lib;qhull_p_d.lib;qhull_r_d.lib;vtkalglib-8.0-gd.lib;vtkChartsCore-8.0-gd.lib;vtkCommonColor-8.0-gd.lib;vtkCommonComputationalGeometry-8.0-gd.lib;vtkCommonCore-8.0-gd.lib;vtkCommonDataModel-8.0-gd.lib;vtkCommonExecutionModel-8.0-gd.lib;vtkCommonMath-8.0-gd.lib;vtkCommonMisc-8.0-gd.lib;vtkCommonSystem-8.0-gd.lib;vtkCommonTransforms-8.0-gd.lib;vtkDICOMParser-8.0-gd.lib;vtkDomainsChemistry-8.0-gd.lib;vtkexoIIc-8.0-gd.lib;vtkexpat-8.0-gd.lib;vtkFiltersAMR-8.0-gd.lib;vtkFiltersCore-8.0-gd.lib;vtkFiltersExtraction-8.0-gd.lib;vtkFiltersFlowPaths-8.0-gd.lib;vtkFiltersGeneral-8.0-gd.lib;vtkFiltersGeneric-8.0-gd.lib;vtkFiltersGeometry-8.0-gd.lib;vtkFiltersHybrid-8.0-gd.lib;vtkFiltersHyperTree-8.0-gd.lib;vtkFiltersImaging-8.0-gd.lib;vtkFiltersModeling-8.0-gd.lib;vtkFiltersParallel-8.0-gd.lib;vtkFiltersParallelImaging-8.0-gd.lib;vtkFiltersPoints-8.0-gd.lib;vtkFiltersProgrammable-8.0-gd.lib;vtkFiltersSelection-8.0-gd.lib;vtkFiltersSMP-8.0-gd.lib;vtkFiltersSources-8.0-gd.lib;vtkFiltersStatistics-8.0-gd.lib;vtkFiltersTexture-8.0-gd.lib;vtkFiltersTopology-8.0-gd.lib;vtkFiltersVerdict-8.0-gd.lib;vtkfreetype-8.0-gd.lib;vtkGeovisCore-8.0-gd.lib;vtkgl2ps-8.0-gd.lib;vtkhdf5-8.0-gd.lib;vtkhdf5_hl-8.0-gd.lib;vtkImagingColor-8.0-gd.lib;vtkImagingCore-8.0-gd.lib;vtkImagingFourier-8.0-gd.lib;vtkImagingGeneral-8.0-gd.lib;vtkImagingHybrid-8.0-gd.lib;vtkImagingMath-8.0-gd.lib;vtkImagingMorphological-8.0-gd.lib;vtkImagingSources-8.0-gd.lib;vtkImagingStatistics-8.0-gd.lib;vtkImagingStencil-8.0-gd.lib;vtkInfovisCore-8.0-gd.lib;vtkInfovisLayout-8.0-gd.lib;vtkInteractionImage-8.0-gd.lib;vtkInteractionStyle-8.0-gd.lib;vtkInteractionWidgets-8.0-gd.lib;vtkIOAMR-8.0-gd.lib;vtkIOCore-8.0-gd.lib;vtkIOEnSight-8.0-gd.lib;vtkIOExodus-8.0-gd.lib;vtkIOExport-8.0-gd.lib;vtkIOExportOpenGL-8.0-gd.lib;vtkIOGeometry-8.0-gd.lib;vtkIOImage-8.0-gd.lib;vtkIOImport-8.0-gd.lib;vtkIOInfovis-8.0-gd.lib;vtkIOLegacy-8.0-gd.lib;vtkIOLSDyna-8.0-gd.lib;vtkIOMINC-8.0-gd.lib;vtkIOMovie-8.0-gd.lib;vtkIONetCDF-8.0-gd.lib;vtkIOParallel-8.0-gd.lib;vtkIOParallelXML-8.0-gd.lib;vtkIOPLY-8.0-gd.lib;vtkIOSQL-8.0-gd.lib;vtkIOTecplotTable-8.0-gd.lib;vtkIOVideo-8.0-gd.lib;vtkIOXML-8.0-gd.lib;vtkIOXMLParser-8.0-gd.lib;vtkjpeg-8.0-gd.lib;vtkjsoncpp-8.0-gd.lib;vtklibharu-8.0-gd.lib;vtklibxml2-8.0-gd.lib;vtklz4-8.0-gd.lib;vtkmetaio-8.0-gd.lib;vtkNetCDF-8.0-gd.lib;vtkoggtheora-8.0-gd.lib;vtkParallelCore-8.0-gd.lib;vtkpng-8.0-gd.lib;vtkproj4-8.0-gd.lib;vtkRenderingAnnotation-8.0-gd.lib;vtkRenderingContext2D-8.0-gd.lib;vtkRenderingContextOpenGL-8.0-gd.lib;vtkRenderingCore-8.0-gd.lib;vtkRenderingFreeType-8.0-gd.lib;vtkRenderingGL2PS-8.0-gd.lib;vtkRenderingImage-8.0-gd.lib;vtkRenderingLabel-8.0-gd.lib;vtkRenderingLIC-8.0-gd.lib;vtkRenderingLOD-8.0-gd.lib;vtkRenderingOpenGL-8.0-gd.lib;vtkRenderingVolume-8.0-gd.lib;vtkRenderingVolumeOpenGL-8.0-gd.lib;vtksqlite-8.0-gd.lib;vtksys-8.0-gd.lib;vtktiff-8.0-gd.lib;vtkverdict-8.0-gd.lib;vtkViewsContext2D-8.0-gd.lib;vtkViewsCore-8.0-gd.lib;vtkViewsInfovis-8.0-gd.lib;vtkzlib-8.0-gd.lib;
opengl32.lib
4.安装配置
在源文件在新建一个cpp文件，把下列代码复制进去，把rabbit和源cpp文件放在同一路径下。
#include <pcl/visualization/cloud_viewer.h>
#include <iostream>
#include <pcl/io/io.h>
#include <pcl/io/pcd_io.h>
#include <vtkAutoInit.h>
VTK_MODULE_INIT(vtkInteractionStyle);
VTK_MODULE_INIT(vtkRenderingFreeType);
VTK_MODULE_INIT(vtkRenderingOpenGL);
int user_data;
void viewerOneOff(pcl::visualization::PCLVisualizer& viewer)
{
viewer.setBackgroundColor(1.0, 0.5, 1.0);
pcl::PointXYZ o;
o.x = 1.0;
o.y = 0;
o.z = 0;
viewer.addSphere(o, 0.25, "sphere", 0);
std::cout << "i only run once" << std::endl;
}
void viewerPsycho(pcl::visualization::PCLVisualizer& viewer)
{
static unsigned count = 0;
std::stringstream ss;
ss << "Once per viewer loop: " << count++;
viewer.removeShape("text", 0);
viewer.addText(ss.str(), 200, 300, "text", 0);
//FIXME: possible race condition here:
user_data++;
}
int main()
{
pcl::PointCloud<pcl::PointXYZRGBA>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZRGBA>);
pcl::io::loadPCDFile("rabbit.pcd", *cloud);
pcl::visualization::CloudViewer viewer("Cloud Viewer");
//blocks until the cloud is actually rendered
viewer.showCloud(cloud);
//use the following functions to get access to the underlying more advanced/powerful
//PCLVisualizer
//This will only get called once
viewer.runOnVisualizationThreadOnce(viewerOneOff);
//This will get called once per visualization iteration
viewer.runOnVisualizationThread(viewerPsycho);
while (!viewer.wasStopped())
{
//you can also do cool processing here
//FIXME: Note that this is running in a separate thread from viewerPsycho
//and you should guard against race conditions yourself...
user_data++;
}
return 0;
}
如果配置成功的话，便会出现如下界面：
在配置过程中可能会遇到不同的问题，我帮其他两个同学配置，一样的操作步骤但是却都出现了不同的问题，在此不要忘记百度大法，直接把错误复制，一般都能得到解决。
在我的资源里有点云库PCL学习教程pdf版本和对应的光盘资源，大家可以下载学习。