1、读取PCD文件

#include <iostream>
#include <pcl/io/pcd_io.h>
#include <pcl/point_types.h>
 
int
main (int argc, char** argv)
{
  // 定义一个 pcl::PointXYZ 类型的点云共享指针，并初始化
  pcl::PointCloud<pcl::PointXYZ>::Ptr cloud (new pcl::PointCloud<pcl::PointXYZ>);
 
  // 从磁盘加载点云数据
  if (pcl::io::loadPCDFile<pcl::PointXYZ> ("test_pcd.pcd", *cloud) == -1) //* load the file
  {
    PCL_ERROR ("Couldn't read file test_pcd.pcd \n");
    return (-1);
  }
  
  // 输出点云数据到屏幕
  std::cout << "Loaded "
            << cloud->width * cloud->height
            << " data points from test_pcd.pcd with the following fields: "
            << std::endl;
  for (size_t i = 0; i < cloud->points.size (); ++i)
    std::cout << "    " << cloud->points[i].x
              << " "    << cloud->points[i].y
              << " "    << cloud->points[i].z << std::endl;
 
  return (0);
}

2、写入PCD文件

#include <iostream>
#include <pcl/io/pcd_io.h>
#include <pcl/point_types.h>
 
int
  main (int argc, char** argv)
{
  // 创建一个点云
  pcl::PointCloud<pcl::PointXYZ> cloud;
 
  // 填充点云数据
  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);
  }
 
  // 写入点云数据到 PCD 文件
  pcl::io::savePCDFileASCII ("test_pcd.pcd", cloud);
  std::cerr << "Saved " << cloud.points.size () << " data points to test_pcd.pcd." << std::endl;
 
  // 显示生成的点云
  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);
}