PCL 三维点云轮廓提取

建一个pclfive文件夹，建一个pclfive.cpp文档如下：

#include <iostream>
#include <pcl/range_image/range_image.h>//深度图有关文件
#include <pcl/visualization/pcl_visualizer.h>//点云可视化头文件
#include <pcl/io/pcd_io.h>//pcd文件输入/输出
#include <pcl/visualization/range_image_visualizer.h>//rangeImage可视化头文件
#include <pcl/common/common_headers.h>
#include <pcl/console/parse.h>//命令行参数解析
#include <boost/thread/thread.hpp>//多线程文件
#include <pcl/visualization/common/float_image_utils.h>//保存深度图像
#include <pcl/io/png_io.h>//保存深度图像
 
int main (int argc, char** argv) {
 
    //读入点云数据
   // pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_in(new pcl::PointCloud<pcl::PointXYZ>);
   // pcl::io::loadPCDFile("room_scan1.pcd",*cloud_in);
 
  pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_in(new pcl::PointCloud<pcl::PointXYZ>);
 //生成数据
  for (float y=-0.5f; y<=0.5f; y+=0.01f) {
    for (float z=-0.5f; z<=0.5f; z+=0.01f) {
      pcl::PointXYZ point;
      point.x = 2.0f - y;
      point.y = y;
      point.z = z;
      cloud_in->points.push_back(point);
    }
  }
  cloud_in->width = (uint32_t) cloud_in->points.size();
  cloud_in->height = 1;
 
 
 
//以1度为角分辨率，从上面创建的点云创建深度图像。
  float angularResolution = (float) (  1.0f * (M_PI/180.0f));  
// 1度转弧度
  float maxAngleWidth     = (float) (360.0f * (M_PI/180.0f));  
// 360.0度转弧度
  float maxAngleHeight    = (float) (180.0f * (M_PI/180.0f)); 
// 180.0度转弧度
  Eigen::Affine3f sensorPose = (Eigen::Affine3f)Eigen::Translation3f(0.0f, 0.0f, 0.0f);
  pcl::RangeImage::CoordinateFrame coordinate_frame = pcl::RangeImage::CAMERA_FRAME;
  float noiseLevel=0.00;
  float minRange = 0.0f;
  int borderSize = 1;
  pcl::RangeImage rangeImage;
  rangeImage.createFromPointCloud(*cloud_in, angularResolution, maxAngleWidth, maxAngleHeight, sensorPose, coordinate_frame, noiseLevel, minRange, borderSize);
std::cout << rangeImage << "\n";//重载运算符<<
 
pcl::visualization::PCLVisualizer::Ptr viewer(new pcl::visualization::PCLVisualizer("CloudPointView"));
viewer->initCameraParameters();
 
int v1(0);
//viewer->createViewPort(0,0,0.5,1,v1);
viewer->setBackgroundColor(255,255,255,v1);
pcl::visualization::PointCloudColorHandlerCustom<pcl::PointXYZ> color1(cloud_in->makeShared(),255,0,0);
viewer->addPointCloud(cloud_in->makeShared(),color1,"pointCloud",v1);
 
viewer->addCoordinateSystem();
//viewer->spin();//这句话不注释掉会导致只显示点云图而不显示深度图的窗口
 
 
 
//save depth picture
    float *ranges = rangeImage.getRangesArray();
    unsigned char* rgb_image = pcl::visualization::FloatImageUtils::getVisualImage(ranges,rangeImage.width,rangeImage.height);
    pcl::io::saveRgbPNGFile("saveRangeImageRGB.png",rgb_image,rangeImage.width,rangeImage.height);
    std::cerr << "Picture Saved!" << std::endl;
 
//可视化深度图像rangeImage
pcl::visualization::RangeImageVisualizer range_image_widget("Range image");//创建Range image显示的对象
range_image_widget.setWindowTitle("RangeImage");
range_image_widget.showRangeImage(rangeImage);
    while (!range_image_widget.wasStopped ()&& !viewer->wasStopped())
    {
        range_image_widget.spinOnce ();
        viewer->spinOnce();
 
        pcl_sleep (0.01);
 
 
    }
 
    return  0 ;
}

在同文件夹下写入配置文件：CMakeLists.txt，如下：

cmake_minimum_required(VERSION 2.6)
project(pclfive)
 
find_package(PCL 1.2 REQUIRED)
 
include_directories(${PCL_INCLUDE_DIRS})
link_directories(${PCL_LIBRARY_DIRS})
add_definitions(${PCL_DEFINITIONS})
 
add_executable(pclfive pclfive.cpp)
 
target_link_libraries (pclfive ${PCL_LIBRARIES})
 
install(TARGETS pclfive RUNTIME DESTINATION bin)

在同文件夹下建立build建一个build文件夹。
开始编译：
1、在build文件夹中打开终端（在文件夹下右键+T）
2、终端输入

cmake ..

3、终端输入

make

4、终端输入

./pclfive