#include <pcl/ModelCoefficients.h>
#include <pcl/point_types.h>
#include <pcl/io/pcd_io.h>
#include <pcl/filters/extract_indices.h>
#include <pcl/filters/voxel_grid.h>
#include <pcl/features/normal_3d.h>
#include <pcl/kdtree/kdtree.h>
#include <pcl/sample_consensus/method_types.h>
#include <pcl/sample_consensus/model_types.h>
#include <pcl/segmentation/sac_segmentation.h>
#include <pcl/segmentation/extract_clusters.h>
#include<pcl/visualization/pcl_visualizer.h>
#include <stdlib.h>
#include <time.h>
using namespace std;
using namespace Eigen;
struct vecrgb
{
double r;
double g;
double b;
};
int main()
{
//循环读取多个点云数据
int num = 50;//你有几个这里就改成几个
std::vector< pcl::PointCloud<pcl::PointXYZ>::Ptr > clouds;
for (int i = 0; i < num; i++)
{
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZ>);
pcl::PCDReader reader;
std::stringstream s;
s << i << ".pcd";//这里文件名改成你自己的那些文件名
reader.read(s.str(), *cloud);
clouds.push_back(cloud);
}
pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZRGB>);
int r, g, b = 0;
for (int it = 0; it < clouds.size(); it++)
{
//逐个点集赋色
r = rand() % 255;
g = rand() % 255;
b = rand() % 255;
pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud_cluster(new pcl::PointCloud<pcl::PointXYZRGB>);
for (int pit = 0; pit < clouds[it]->size(); pit++)
{
pcl::PointXYZRGB point;
point.x = clouds[it]->points[pit].x;
point.y = clouds[it]->points[pit].y;
point.z = clouds[it]->points[pit].z;
point.r = r;
point.g = g;
point.b = b;
cloud_cluster->points.push_back(point);
}
cloud_cluster->width = cloud_cluster->points.size();
cloud_cluster->height = 1;
cloud_cluster->is_dense = true;
*cloud+=*cloud_cluster;
//点云多次输出
}
pcl::io::savePCDFileASCII("spline.pcd", *cloud);
std::system("pause");//防止控制台窗口一闪而过
return (0);
}