以官网提供的StatisticalOutlierRemoval滤波器源代码为例:(如下)
如果我想再完成点云滤波后,立即同时显示出处理前后的点云,该如何在滤波代码的基础上添加代码:
//statistical_removal.cpp
#include <istream>
#include <pcl/io/pcd_io.h>
#include <pcl/point_types.h>
#include <pcl/filters/statistical_outlier_removal.h>
int
main (int argc, char** argv)
{
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud (new pcl::PointCloud<pcl::PointXYZ>);
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_filtered (new pcl::PointCloud<pcl::PointXYZ>);
// 填入点云数据
pcl::PCDReader reader;
// 把路径改为自己存放文件的路径
reader.read<pcl::PointXYZ> ("table_scene_lms400.pcd", *cloud);
std::cerr << "Cloud before filtering: " << std::endl;
std::cerr << *cloud << std::endl;
// 创建滤波器对象
pcl::StatisticalOutlierRemoval<pcl::PointXYZ> sor;
sor.setInputCloud (cloud);
sor.setMeanK (50);
sor.setStddevMulThresh (1.0);
sor.filter (*cloud_filtered);
std::cerr << "Cloud after filtering: " << std::endl;
std::cerr << *cloud_filtered << std::endl;
pcl::PCDWriter writer;
writer.write<pcl::PointXYZ> ("table_scene_lms400_inliers.pcd", *cloud_filtered, false);
sor.setNegative (true);
sor.filter (*cloud_filtered);
writer.write<pcl::PointXYZ> ("table_scene_lms400_outliers.pcd", *cloud_filtered, false);
return (0);
}
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